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Review
Food Science & Technology
Mahdieh Abbasalizad-Farhangi
Summary: This meta-analysis evaluated the association between central obesity and leukocyte telomere length in adults. The results showed a negative association between higher leukocyte telomere length and waist circumference, while the association with waist to hip ratio was not significant.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2023)
Article
Computer Science, Theory & Methods
Chao Yu et al.
Summary: As a subfield of machine learning, reinforcement learning aims to optimize decision making by using interaction samples of an agent with its environment and the potentially delayed feedbacks. It tackles sequential decision-making problems with sampled, evaluative, and delayed feedbacks simultaneously. In healthcare domains, it is a suitable candidate for developing powerful solutions in various areas such as treatment regimes, medical diagnosis, and control or scheduling problems. Challenges, open issues, potential solutions, and future research directions are also discussed.
ACM COMPUTING SURVEYS
(2023)
Article
Computer Science, Theory & Methods
Abhishek Hazra et al.
Summary: This review investigates the interoperability issues faced by Industrial IoT (IIoT) and discusses the advancements in technologies, solutions, and standards. Challenges and directions for future research are also highlighted.
ACM COMPUTING SURVEYS
(2023)
Article
Computer Science, Theory & Methods
Rodolfo Meneguette et al.
Summary: This survey introduces the concepts, technologies, and architectures of Vehicular Edge Computing (VEC), focusing on resource allocation mechanisms and security approaches. It also summarizes the main challenges of VEC.
ACM COMPUTING SURVEYS
(2023)
Review
Computer Science, Information Systems
Arnau Rovira-Sugranes et al.
Summary: This paper reviews the use of AI-enabled routing protocols in aerial networks, focusing on topology prediction and self-adaptive learning-based routing algorithms that can accommodate highly dynamic network topology. The paper justifies the importance and adaptation of AI into UAV network communications and discusses related topics such as mobility and networking models, simulation tools and public datasets, and relations to UAV swarming. The paper also presents future trends and the remaining challenges in AI-based UAV networking.
Article
Engineering, Electrical & Electronic
Yan Xi et al.
Summary: This letter proposes a novel coding metasurface (CM) to reduce the wideband radar cross section (RCS) of a microstrip antenna array (MAA) while maintaining its radiation properties. The CM utilizes low Q resonators and a fast optimization method to achieve wideband control of the reflected wave. Experimental results demonstrate that the CM can realize significant RCS reduction and suppress specular scattering.
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
(2022)
Article
Computer Science, Artificial Intelligence
Fahad A. Alqurashi et al.
Summary: Recently, there has been a lot of interest in the technology that has greatly contributed to the development of smart unmanned systems. Internet of UAV (IoUAV) allows unmanned aerial vehicles (UAVs) to connect to the public network and cooperate with the surrounding environment. Artificial intelligence technologies, such as machine learning, provide intelligent solutions to enhance the efficiency of the IoUAV network and address challenges related to UAV cloud networks, big data processing, energy efficiency, and efficient communication.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Bingli Dai et al.
Summary: In this article, a new ultrawideband branch waveguide coupler with low amplitude imbalance is presented. The novel design is based on a new structure of branch waveguide achieved by symmetrically increasing its width. The height and width of the new branch waveguide can independently control the coupling degree, resulting in increased design flexibility. Additionally, the structure can produce a transmission zero and a concept to improve the fractional bandwidth is proposed through out-of-band transmission zeros. Design guidelines for the novel coupler are provided based on the analysis, and a prototype is processed and measured to verify the design concept.
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
(2022)
Article
Engineering, Electrical & Electronic
Yinian Feng et al.
Summary: This letter presents the design of a wideband manifold-coupled triplexer with high isolation in D-band. The triplexer utilizes a novel dual-mode cavity structure and the space-mapping technique for computational efficiency and design accuracy. The fabrication is done using high-precision computer numerical control milling technology. The measured results show good agreement with the simulated ones, with low insertion loss and high isolation between channels.
IEEE TRANSACTIONS ON TERAHERTZ SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Yiqun Liu et al.
Summary: This article presents a class of millimeter-wave E-plane waveguide bandpass filters based on spoof surface plasmon polaritons (SSPPs). The bandwidths and center frequencies of the proposed filters can be flexibly adjusted by controlling the asymptotic frequencies of SSPP unit cells. Experimental results show good agreement between measurements and simulations.
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
(2022)
Review
Environmental Sciences
Zongyao Yang et al.
Summary: With the rapid development of information technology and the increasing demand for remote sensing data, unmanned aerial vehicle (UAV) remote sensing technology has been widely used in various fields. Compared with traditional marine monitoring technologies, UAV remote sensing has become an important means for marine monitoring due to its flexibility, efficiency, and low cost, while still providing detailed and timely data. This study visualizes the application and research advances of UAV remote sensing in marine monitoring and provides a comprehensive review of its applications in marine management, disaster and environmental monitoring, and wildlife monitoring. The aim is to promote the extensive use of UAV remote sensing in marine research.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Chemistry, Multidisciplinary
Arash Heidari et al.
Summary: The development of IoT enables objects to transfer resources to each other to execute tasks, where computation offloading plays a critical role. The study proposes a new deep Q-learning approach to address the IoT-edge offloading enabled blockchain problem using Markov Decision Process. This system can operate online and offline simultaneously while maintaining privacy and security.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Multidisciplinary
Bhaskar B. Gardas et al.
Summary: The demand for more powerful data storage and processing in Internet of Things (IoT) applications has increased, but cloud-based systems face several issues that can be addressed with edge computing and node selection. The interconnection of blockchain technology and edge IoT provides a fresh perspective on access control framework design.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Hardware & Architecture
Guiyang Luo et al.
Summary: Mobile networks (MNs) are becoming increasingly complex, presenting challenges in deployment, management, operation, optimization, and maintenance. The application of artificial intelligence (AI) in MNs has shown potential in understanding and making intelligent decisions. This article proposes an AI-powered MN architecture and discusses the challenges and potential solutions associated with cognition complexity and decision-making. It also introduces a deep learning approach to map the state of an MN to perceived QoS, improving decision-making for operators.
Article
Computer Science, Artificial Intelligence
Asma Belhadi et al.
Summary: This paper presents a new model for identifying collective abnormal human behaviors in smart cities through data mining and deep learning algorithms. Experimental results demonstrate that the deep learning solution outperforms other algorithms in terms of accuracy and runtime.
INFORMATION FUSION
(2021)
Article
Computer Science, Hardware & Architecture
G. Vallathan et al.
Summary: This paper proposes a novel deep learning-based method for predicting abnormal events and notifying users in an IoT environment, aiming to protect children from abuse.
JOURNAL OF SUPERCOMPUTING
(2021)
Review
Computer Science, Artificial Intelligence
Amina N. Muhammad et al.
Summary: The purpose of smart cities is to improve resource utilization efficiency and enhance residents' quality of life, mainly optimizing city functions through data generated by IoT devices; recent attention has been given to the application of deep learning in smart cities, but there is currently no dedicated survey to showcase its progress and future directions.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Information Science & Library Science
Marijana Zekic-Susac et al.
Summary: This paper discusses the incorporation of Big Data platform and machine learning into an intelligent system for managing energy efficiency of public buildings. Various prediction models were created, with the Random forest method producing the most accurate model. Important predictors were compared across different methods.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2021)
Article
Computer Science, Theory & Methods
Amartya Mukherjee et al.
Summary: With the increasing prevalence of Internet connectivity, smart grid technology has become more practical, offering challenges and opportunities in automating electricity consumption tracking and supply management. This paper addresses key issues in smart grid management and communication, proposing solutions such as communication via Internet of Drone Things and combining gradient boosting strategies with Deep Learning for load forecasting. The proposed models show improved forecast results and resource utilization compared to traditional frameworks on resource-constrained edge computing platforms.
INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING
(2021)
Article
Telecommunications
Dukka KarunKumar Reddy et al.
Summary: The primary objective of an anomaly exposure system is to categorize system behavior into normal and untruthful actions. To prevent data from errors or attacks, administrators in smart cities must employ anomaly detection engines. This article proposes a novel deep learning-based framework utilizing a dense random neural network approach to distinguish and classify abnormal behaviors from normal behaviors based on the type of attack in the Internet of Things.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2021)
Article
Computer Science, Information Systems
Huniya Shahid et al.
Summary: The rapid advancement in information and communication technology has revolutionized military operations, giving rise to the concept of the Internet of Battlefield Things (IoBT). However, many existing frameworks for IoBT fail to maintain high Quality of Service due to its demanding nature. The study proposes the use of mist computing and machine learning to address these challenges and improve efficiency in monitoring troops and decision-making processes in military operations.
ACM TRANSACTIONS ON INTERNET TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Pietro Boccadoro et al.
Summary: The Internet of Drones (IoD) has gained momentum in various applications due to its adaptability and ability to improve network architecture performance. However, challenges related to wireless medium unreliability, battery duration, and high mobility degree have emerged, leading to frequent topology changes and security/privacy issues that need further investigation. The present work categorizes multifaceted aspects of IoD and explores research challenges and promising technologies for future development in the field.
Article
Engineering, Aerospace
Yu Hu et al.
Summary: The ducted propeller is more efficient in hovering but the heavy structure reduces overall system efficiency, prompting a comparison with open propellers when weight penalty is considered. In this scenario, lighter ducted propellers perform better at low disc loading, while those with higher aerodynamic hovering efficiency excel at high disc loading. The optimization process generates an L-shaped Pareto front, indicating designs that balance aerodynamic efficiency and weight reduction.
AEROSPACE SCIENCE AND TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Basudeb Bera et al.
Summary: In this paper, a novel access control scheme for unauthorized UAV detection and mitigation, called ACSUD-IoD, is proposed. By incorporating a blockchain-based solution in ACSUD-IoD, the data from drones can be securely stored for detection of unauthorized UAVs, and Big data analytics can be performed on the authenticated transactional data stored in the blockchain to ensure data authenticity and effectiveness. The detailed security analysis and testbed experiments demonstrate the robustness and efficacy of the proposed scheme in an IoD environment compared to existing schemes.
COMPUTER COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Dian Meng et al.
Summary: This paper proposes a data-driven intelligent planning model for UAVs-RN under MIoT, involving analysis of multi-source data and establishment of a multi-objective planning model. Through experiments and case studies, the effectiveness and practicality of the approach are validated.
COMPUTER COMMUNICATIONS
(2021)
Article
Computer Science, Hardware & Architecture
Dawei Wei et al.
Summary: This paper introduces a distributed deep reinforcement learning method with cooperative exploring and prioritized experience replay to address the challenge of multiple UAV computation offloading in mobile edge computing network. The results demonstrate that the proposed method outperforms existing computation offloading methods in terms of convergence rate, energy-task efficiency, and average processing time.
Article
Computer Science, Hardware & Architecture
Yaochen Li et al.
Summary: This paper proposes an object detection model for identifying small sized traffic elements in UAV image sequences, and introduces an intelligent traffic signal scheduling algorithm using deep reinforcement learning. Experimental results demonstrate the effectiveness of these two methods.
COMPUTERS & ELECTRICAL ENGINEERING
(2021)
Review
Computer Science, Artificial Intelligence
Tao Li et al.
Summary: The use of deep learning in fundus image analysis is increasingly popular due to its powerful performance in various applications. This review paper introduces 143 application papers and 33 publicly available datasets, providing summaries, analyses, and solutions for common limitations in each task. The authors also promise to regularly update the state-of-the-art results and newly-released datasets on their GitHub page to keep up with the rapid development in the field.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Computer Science, Theory & Methods
Ahmed Barnawi et al.
Summary: The combination of IoT and AI is facilitating the handling of COVID-19 by providing real-time data collection and analysis. The impact of the current pandemic has made the application of IoT technology in healthcare more crucial. By utilizing thermal sensors and facial recognition technology, we can quickly and accurately identify individuals who may be infected with COVID-19.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Computer Science, Hardware & Architecture
Yuben Qu et al.
Summary: Unmanned aerial vehicles (UAVs) are envisioned to have extensive applications in future wireless networks, using artificial intelligence and specifically federated learning techniques to empower intelligence. This article proposes a novel architecture called DFL-UN for UAV networks, enabling federated learning without the need for a central entity. Challenges and potential research directions in DFL-UN are also discussed.
Article
Engineering, Electrical & Electronic
Kunqian Liu et al.
Summary: The paper proposes a DeepBAN communication framework for dynamic WBANs, using deep learning approach for channel prediction and mobile edge computing to reduce response time. By applying joint power control, time-slot allocation, and relay selection algorithm, the system achieves maximum energy efficiency.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Shumayla Yaqoob et al.
Summary: This paper introduces a fog-assisted congestion avoidance approach for Smooth Message Dissemination (SMD) and proposes a message forwarding algorithm based on a layered model. Simulation results demonstrate the superiority of the proposed method in terms of messaging overhead and packet delivery ratio.
COMPUTER COMMUNICATIONS
(2021)
Article
Geochemistry & Geophysics
Guoqing Zhou et al.
Summary: This article presents an optimization method for selecting optimal building facade texture images from oblique images captured by multiple cameras onboard UAV. By using multiobjective functions and considering geometric correction, color equalization, and texture repair, the proposed method significantly reduces memory usage while maintaining high image quality.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Engineering, Electrical & Electronic
Kai Li et al.
Summary: The application of UAVs in IoT networks has the potential to extend network coverage and solve problems that traditional technologies cannot address. However, challenges exist in online velocity control and communication decision making due to UAVs' lack of real-time knowledge about node states.
IEEE VEHICULAR TECHNOLOGY MAGAZINE
(2021)
Article
Computer Science, Artificial Intelligence
Gangyi Tian et al.
Summary: A dual neural network review method is proposed in this paper to quickly screen missed targets in UAV images, achieving high-quality detection. Experimental results demonstrate breakthrough performance on various datasets.
Article
Computer Science, Interdisciplinary Applications
Kamalika Bhattacharjya et al.
Summary: The research explores the importance of IoUT in monitoring underwater environments and proposes an intelligent IoUT model based on drones and edge computing. By selecting efficient cluster head nodes to reduce energy consumption, the efficiency of data transmission is improved, and the performance of the new model is compared with traditional models.
SIMULATION MODELLING PRACTICE AND THEORY
(2021)
Article
Computer Science, Information Systems
Chaofeng Zhang et al.
Summary: This article presents a UAV-based data collection strategy, utilizing optimization algorithms and deep learning networks to predict future network states. The proposed AIIPO algorithm is used to achieve information forwarding in advance, with final mathematical experiments proving the superiority of these methods over traditional solutions for dynamic data collection systems.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2021)
Article
Engineering, Multidisciplinary
Bin Cao et al.
Summary: This paper proposes a many-objective optimization model for optimizing the deployment of drone-assisted cameras based on a 3D terrain environment. An improved algorithm outperforms state-of-the-art algorithms in the experimental results.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Chemistry, Analytical
Azza Allouch et al.
Summary: Unmanned aerial systems (UAVs) have wide applications in civil sectors, but they face security issues, especially when connected to the internet. Unmanned traffic management is crucial for controlling small UAVs in low-altitude airspace, but ensuring the security of flight paths is essential to prevent serious threats.
Article
Engineering, Electrical & Electronic
Kaliappan Madasamy et al.
Summary: Computer vision is a vital interdisciplinary domain for object detection, where the deep learning approach deep YOLO V3 is effective for multi-object detection, especially for small drones. The system improves accuracy in small object detection using convolution layers and up-sampling techniques.
EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING
(2021)
Review
Computer Science, Information Systems
Himanshu Sharma et al.
Summary: Artificial intelligence and machine learning technologies have great potential in efficiently managing IoT nodes in smart cities, which are often based on low power Bluetooth and wireless sensor network standards. The study suggests using machine learning methods to optimize WSN-IoT nodes in smart cities, with supervised learning algorithms being the most widely used in smart city applications.
Article
Computer Science, Information Systems
Abbas Yazdinejad et al.
Summary: The paper introduces a federated learning-based drone authentication model that utilizes drones' Radio Frequency (RF) features for authentication in IoT networks. Experimental results demonstrate that the model achieves a high true positive rate during drone authentication and outperforms other ML-based models.
Article
Telecommunications
Wenjun Xu et al.
China Communications
(2021)
Article
Computer Science, Hardware & Architecture
Ammar Ahmed Khan et al.
Summary: UAVs have numerous emerging applications, but gaining public acceptance requires ensuring safety and security. Conventional UAVs are vulnerable to cyber attacks, so proposing a decentralized machine learning framework based on blockchain to enhance data integrity and storage is crucial.
Article
Computer Science, Hardware & Architecture
Rajesh Gupta et al.
Summary: This article discusses the advantages of edge computing over cloud computing, as well as the innovative application of using 6G wireless networks to solve connectivity issues with 4G and 5G. Through a case study, it is demonstrated that 6G-based edge intelligence has lower latency compared to 4G and 5G communication networks.
COMPUTER STANDARDS & INTERFACES
(2021)
Article
Engineering, Electrical & Electronic
Kai-Da Xu et al.
Summary: This paper presents a 60-GHz compact dual-mode on-chip bandpass filter using gallium arsenide technology, with an LC equivalent circuit model constructed to analyze the transmission poles and zeros. A prototype was fabricated and tested, showing good agreement between simulated and measured results. The measured performance includes a center frequency of 58.7 GHz, a bandwidth of 18.4%, and a minimum insertion loss of 2.42 dB within the passband, with a chip size of approximately 0.158 mm x 0.344 mm (excluding feedings).
IEEE ELECTRON DEVICE LETTERS
(2021)
Article
Computer Science, Hardware & Architecture
Rizwana Shahzadi et al.
Summary: There has been significant technological advancement in wireless communication in the last few decades, transitioning from voice communication to interactive multimedia applications. The increasing demand for high data rate and connectivity in user equipment calls for new technological trends to meet the requirements of 5G and beyond networks. Unmanned aerial vehicles (UAVs) are seen as promising candidates for future wireless communication networks due to their mobility, low cost, and Line of sight (LOS) communication capabilities, but they also present challenges that need to be addressed.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2021)
Article
Computer Science, Hardware & Architecture
Srishti Srivastava et al.
Summary: This paper presents a survey on deep learning techniques for on-ground vehicle detection from aerial imagery captured using UAVs. The works were reviewed in terms of accuracy improvement, computation overhead reduction, and optimization objectives. Similarities, differences, and future challenges in this area were also highlighted.
JOURNAL OF SYSTEMS ARCHITECTURE
(2021)
Article
Chemistry, Analytical
Sara Al-Emadi et al.
Summary: Drones are increasingly popular in various fields, but concerns about their potential use in malicious activities are rising. A novel solution using deep learning algorithms to automate drone detection and identification processes is proposed, but the lack of datasets poses challenges to implementation.
Article
Computer Science, Information Systems
Tao Hong et al.
Summary: The advancement of UAV technology has improved the convenience of urban life but also raised safety concerns. This study proposes a method for real-time tracking of drone targets using 5G networks and machine learning algorithms, resulting in a high-precision tracking model achieved through training.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2021)
Article
Computer Science, Information Systems
Bo Yang et al.
Summary: The research proposes a hierarchical framework for offloading deep learning tasks to mobile-edge computing servers to improve inference accuracy. This method minimizes the weighted-sum cost considering computational resources and energy budgets, optimizing the performance of target tracking for UAVs.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Green & Sustainable Science & Technology
Yongchang Zhang et al.
Summary: Driven by information technology, big data opens up new development opportunities for city construction by utilizing IoT and AI technologies. The combination of IoT and AI in smart cities has enhanced data integration, sharing, and futuristic predictions, leading to improved urban living standards and sustainable environments.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Computer Science, Information Systems
Christophe Guerber et al.
Summary: As drones become more common, securing communication with them is crucial. This article focuses on external intrusion and internal network usage attacks, using SDN technology to enhance network security protection.
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS
(2021)
Article
Computer Science, Information Systems
Morshed Chowdhury et al.
Summary: The Internet of Things (IoT) is widely used in various applications for its functional benefits, but the devices are vulnerable to attacks due to limited security measures. This article introduces a new insider attack, called loophole attack, on a widely used routing protocol in IoT systems. A machine learning based security mechanism is proposed to detect and prevent this insider attack effectively.
ACM TRANSACTIONS ON INTERNET OF THINGS
(2021)
Article
Remote Sensing
Subroto Singha et al.
Summary: Drones are becoming increasingly popular, leading to a need for automated drone detection systems to prevent misuse, with research showing superior performance in detection capabilities.
Article
Engineering, Electrical & Electronic
Hafiz Suliman Munawar et al.
Summary: The study focuses on using Unmanned Aerial Vehicles to develop an automated imaging system that can identify inundated areas from aerial images. The system achieved a high accuracy in detecting buildings and roads, as well as classifying flooded and non-flooded regions from the input case study images, showing promising results for real-time flood management and disaster relief initiatives.
Article
Computer Science, Information Systems
Adarsh Kumar et al.
Summary: This work explores quantum computing issues and future trends in quantum drone technology, discusses the advantages, limitations, challenges, and research directions related to quantum technologies in drone networks.
Review
Chemistry, Analytical
Abdelzahir Abdelmaboud
Summary: The use of drones in daily life is valuable, and forming the Internet of drones (IoD) is a desirable trend for improving flight safety and quality. However, security, privacy, and communication issues exist with IoD implementation.
Review
Computer Science, Information Systems
Taher M. Ghazal et al.
Summary: Smart city is a concept that aims to make cities more efficient, technologically advanced, greener and socially inclusive. The focus is on using digital technologies to address challenges faced by urban society, with particular potential in the healthcare sector.
Article
Remote Sensing
Thomas Lee et al.
Summary: The rise of Deep Learning has significantly advanced research in autonomous drone navigation. This study establishes a taxonomy of drone navigation autonomy and provides a comprehensive overview of the research activities in the field, highlighting key works and areas for future development.
Article
Telecommunications
Jingjing Yao et al.
Summary: This study investigates the joint optimization of power control and energy harvesting control in Internet of Drones (IoD) networks to minimize system energy cost. A Markov Decision Process is formulated and a modified actor-critic reinforcement learning algorithm is proposed to address the problem effectively.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2021)
Article
Engineering, Electrical & Electronic
Ang Li et al.
Summary: The deployment of massive MIMO systems is crucial for meeting the capacity requirements of 5G and future communication systems, but fully digital systems face challenges in terms of hardware costs and power consumption. To improve both spectral and energy efficiency, hardware constrained architectures have been proposed. This article focuses on recent advances in using symbol-level precoding to enhance error rate performance in massive MIMO systems with 1-bit DACs.
IEEE COMMUNICATIONS MAGAZINE
(2021)
Article
Computer Science, Information Systems
Jawad Tanveer et al.
Summary: The study introduces a Q-learning-based approach to help drones fly with minimum handover cost and robust connectivity. By using machine learning techniques, it provides efficient mobility support with high data rate in time-sensitive applications, tactile internet, and haptics communication.
CMC-COMPUTERS MATERIALS & CONTINUA
(2021)
Article
Computer Science, Hardware & Architecture
Abdu Gumaei et al.
Summary: This article presents a framework that combines blockchain, deep recurrent neural networks, and edge computing for 5G-enabled drone identification and flight mode detection. The study remotely senses and collects raw RF signals of drones under various flight modes on a cloud server to train and distribute a model on edge devices for accurate detection of drones and their flight modes. The proposed framework leverages blockchain for data integrity and secure transmission, showing promising results in detecting drones and their flight modes with high accuracy.
Article
Computer Science, Hardware & Architecture
Jiawen Kang et al.
Summary: This article discusses the use of permissioned blockchain technology to propose a decentralized data management system in B5G drone networks, aiming to address security challenges in data sharing. By introducing credit as a metric and proposing a credit-based miner selection scheme, the effectiveness of the proposed approach for secure data sharing in drone networks is demonstrated through numerical results.
Article
Computer Science, Information Systems
Muktar Yahuza et al.
Summary: Internet of Drones (IoD) is a decentralized network and management framework that links drones' access to the controlled airspace and provides inter-location navigation services. However, existing research studies have not thoroughly investigated the security and privacy threats associated with various drone categories. Further research is needed to address the security and privacy issues in IoD networks comprehensively.
Article
Computer Science, Information Systems
Joana Angjo et al.
Summary: Drones will play a significant role in future mobile communication networks, but pose challenges, especially in handover management due to their mobility in a 3D environment. Current research efforts focus on addressing these challenges and integrating drones into heterogeneous networks for future developments.
Article
Computer Science, Information Systems
Yuwen Pan et al.
Summary: Efficient data collection from distributed sensors in challenging scenarios can be achieved through well-planned multi-UAV path planning. The Deep Learning Trained by Genetic Algorithm (DL-GA) combines the advantages of DL and GA, providing rapid optimization of paths in high timeliness scenarios.
Article
Energy & Fuels
Giuseppe Faraci et al.
Article
Computer Science, Artificial Intelligence
S. H. Alsamhi et al.
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2020)
Article
Computer Science, Information Systems
Eric Ke Wang et al.
COMPUTER COMMUNICATIONS
(2020)
Article
Sahar Vahdat et al.
Proceedings of the National Academy of Sciences, India. Section B
(2020)
Article
Biology
Mesut Togacar et al.
COMPUTERS IN BIOLOGY AND MEDICINE
(2020)
Article
Biology
Ali Abbasian Ardakani et al.
COMPUTERS IN BIOLOGY AND MEDICINE
(2020)
Article
Infectious Diseases
Dilbag Singh et al.
EUROPEAN JOURNAL OF CLINICAL MICROBIOLOGY & INFECTIOUS DISEASES
(2020)
Article
Engineering, Electrical & Electronic
Arash Heidari et al.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2020)
Article
Computer Science, Information Systems
Lei Yang et al.
IEEE INTERNET OF THINGS JOURNAL
(2020)
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Chemistry, Analytical
Anis Koubaa et al.
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Computer Science, Hardware & Architecture
Sulaiman Khan et al.
COMPUTERS & ELECTRICAL ENGINEERING
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Anand Nayyar et al.
FIRST INTERNATIONAL CONFERENCE ON SUSTAINABLE TECHNOLOGIES FOR COMPUTATIONAL INTELLIGENCE
(2020)
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Chemistry, Analytical
Mohammed Ghazal et al.
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Computer Science, Interdisciplinary Applications
Asif Iqbal Khan et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2020)
Article
Multidisciplinary Sciences
Ishita Dasgupta et al.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2020)
Article
Computer Science, Information Systems
Maciej L. Pawelczyk et al.
Article
Computer Science, Information Systems
Jingjing Wang et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2020)
Article
Computer Science, Information Systems
Ang Li et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2020)
Article
Computer Science, Theory & Methods
Mohammad F. Al-Sa'd et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2019)
Review
Chemistry, Analytical
Petros S. Bithas et al.
Article
Engineering, Electrical & Electronic
Zhiyong Feng et al.
IEEE COMMUNICATIONS MAGAZINE
(2019)
Article
Computer Science, Information Systems
Azade Fotouhi et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2019)
Article
Computer Science, Information Systems
Lin Meng et al.
Article
Computer Science, Hardware & Architecture
Hasan Genc et al.
Review
Computer Science, Information Systems
Naser Hossein Motlagh et al.
IEEE INTERNET OF THINGS JOURNAL
(2016)
