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Article
Computer Science, Information Systems
Tauqeer Safdar Malik et al.
Summary: In this paper, we propose a reinforcement learning-based routing approach in the cognitive radio network-based Internet of Things (IoT) environment to achieve higher data rates and minimize end-to-end routing delays. Our evaluation results show that the proposed model outperforms existing approaches in terms of data rate, throughput, packet collision, and end-to-end delay.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Ankush Mitra et al.
Summary: Cognitive Internet of Things (CIoT) enables organizations to learn from data arriving from various connected devices and applies intelligence to business operations, products, customer experiences, and people. This paper proposes a blockchain-based AI/ML-enabled big data analytics mechanism to mitigate data poisoning attacks in CIoT environment.
COMPUTER COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Liyang Lu et al.
Summary: This paper proposes two novel schemes of wideband compressive spectrum sensing (CSS) via block orthogonal matching pursuit (BOMP) algorithm, for achieving high sensing accuracy in real time. These schemes aim to reliably recover the spectrum by adaptively adjusting the number of required measurements without inducing unnecessary sampling redundancy. The simulated results show that the two SC-BOMP schemes outperform the other benchmark algorithms.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Amir Mehrabian et al.
Summary: This paper considers SS problems with various noise models and proposes a detector based on CNNs that offers robust performance. The proposed CNN is a model-free, data-driven solution that can adapt to different noise scenarios and outperforms LRT in most cases.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Chemistry, Analytical
Md. Reazul Islam et al.
Summary: With an aging population and increased chronic diseases, remote health monitoring using IoT-based systems has become critical for improving patient care and reducing healthcare costs. This paper proposes an IoT-based system for remote monitoring and early detection of health problems in home clinical settings, utilizing sensors to collect and transmit physiological data to a server for analysis. The system employs a pre-trained deep learning model to classify potential diseases and can detect various heart conditions and fever from ECG and body temperature data respectively. The system also provides feedback on the patient's heart rate and oxygen level.
Review
Chemistry, Analytical
Mahdi Naghshvarianjahromi et al.
Summary: This article discusses the concept and applications of cognitive dynamic systems (CDS), which are intelligent systems inspired by the brain. CDS has two branches, one for linear and Gaussian environments (LGEs) like cognitive radio and cognitive radar, and another for non-Gaussian and nonlinear environments (NGNLEs) like cyber processing in smart systems. The focus is on the applications of CDS, including cognitive radios, cognitive radar, cognitive control, cyber security, self-driving cars, and smart grids for LGEs. The results of implementing CDS in these systems are very promising, with improved accuracy, performance, and lower computational costs.
Article
Computer Science, Information Systems
Mohsin Ali et al.
Summary: Cognitive radio (CR) is a key technology used to overcome spectrum scarcity in wireless applications. Efficient spectrum utilization is the core purpose of CR systems, and this study focuses on optimizing sensing time to maximize spectrum utilization efficiency (SUE) while minimizing interference to primary users (PUs). A trade-off between sensing time and SUE is analyzed, and the proposed system shows a 45% improvement in optimal sensing time compared to conventional systems.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Telecommunications
Viet-Hung Dang et al.
Summary: This paper investigates the throughput of a non-orthogonal multiple access (NOMA)-based cognitive radio (CR) system with multiple unmanned aerial vehicle (UAV)-assisted relays under system performance and security constraints. A communication protocol that includes an energy harvesting (EH) phase and multiple communication phases is proposed. The analysis focuses on the outage probability of the primary network, the throughput of the secondary network, and the leakage probability at the eavesdropper (EAV). A hybrid search method combining particle swarm optimization (PSO) and continuous genetic algorithm (CGA) is proposed to optimize the UR configurations and the NOMA power allocation to maximize the throughput of the secondary network under performance and security constraints.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2023)
Article
Business
Ragheb Al-Nammari et al.
Summary: Staff engagement is crucial for organizational success, and this article explores the relative importance of organizational factors affecting staff engagement in healthcare. By using data-driven approaches and machine learning algorithms, the study identifies safety culture as the most influential factor, followed by team working.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Review
Chemistry, Analytical
Luca Ragno et al.
Summary: Social robots are cyber-physical or virtual systems capable of autonomous interaction with humans or non-human agents in real environments. In the field of biomedical technology, they are primarily used in nursing homes, hospitals, and private homes to provide assistance to the elderly, people with disabilities, children, and medical personnel. This review examines the current state-of-the-art of social robots in healthcare applications, focusing on their technical characteristics and requirements. Commercial applications, scientific literature, patent analysis, and other sources were used to identify and categorize various types of devices, and their respective specifications were discussed and organized.
Article
Chemistry, Analytical
Evan Minty et al.
Summary: Diabetes and its complications, including diabetic foot ulcers (DFUs), are major challenges for healthcare systems worldwide. Sensor-based remote patient monitoring (RPM) has been proposed as a possible solution to improve foot care in DFU prevention. However, there is a lack of frameworks on how to approach and act on data collected through sensor-based RPM. This perspective article offers insights into deploying sensor-based RPM in digital DFU prevention programs, emphasizing important elements for effective integration and highlighting the potential benefits of an integrated approach to diabetes disease management.
Article
Biotechnology & Applied Microbiology
Elena Zaitseva et al.
Summary: The development of information technology has led to the emergence of Industry 4.0, which brought about the concept of Medicine 4.0. Medicine 4.0 integrates AI-based medicine, telemedicine, and precision medicine. This paper proposes a new classification method using fuzzy classifiers to process various types of medical data effectively.
BIOENGINEERING-BASEL
(2023)
Article
Engineering, Electrical & Electronic
Yu Pan et al.
Summary: This study investigates the optimization of average throughput in UAV-enabled cognitive radio networks and proposes an efficient high-quality algorithm to effectively solve this problem.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Murad A. Abusubaih et al.
Summary: This paper studies and compares the performance of KMeans-based spectrum sensing technique with other techniques in cognitive radio networks, considering the effect of fading channels. The results show that spectrum sensing techniques perform better in stationary networks and require at least three secondary users and about 1500 samples to achieve acceptable performance.
Article
Computer Science, Information Systems
Sona Alex et al.
Summary: In mobile healthcare networks, outsourced disease detection services require privacy preservation, which leads to the need for fully homomorphic encryption (FHE) and energy-efficient protocols like PDTC-LRC. The proposed FCRS scheme and secure integer comparison protocol allows for improved energy efficiency and real-time applicability while maintaining user and health cloud privacy requirements. Experiments show that the proposed protocols achieve the same classification accuracy as plain decision tree classification.
Article
Automation & Control Systems
Xin Liu et al.
Summary: In this article, a Q-learning-based dynamic spectrum access scheme is proposed for the cognitive industrial Internet of Things (CIIoT) to intelligently utilize spectrum resources in three access scenarios. Simulation results show the advantages of the Q-learning-based NOMA scheme in terms of guaranteeing CIIoT throughput and reducing interference.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Information Systems
Amandeep Kaur et al.
Summary: This paper investigates the issue of efficient utilization of wireless spectrum and proposes a resource allocation scheme based on multi-agent reinforcement learning. The scheme integrates machine learning and cognitive radio technology while benefiting from cloud computing support to improve performance.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Chemistry, Analytical
Ali Hassan Sodhro et al.
Summary: Secure and reliable sensing is crucial for cognitive tracking and authentication. This article highlights the importance of cognitive authentication and the use of electroencephalogram (EEG) as a unique performance indicator. The experimental setup and analysis show that the Random Forest (RF) classifier performs well in testing EEG data.
Review
Engineering, Electrical & Electronic
Neelma Naz et al.
Summary: Artificial intelligence plays a significant role in the automotive industry, assisting in accurate execution of vehicle functionalities. Through the use of sensors like laser, radar, lidar, GPS, and vehicular communication networks, AI algorithms enable autonomous vehicles to drive in complex environments. Improved performance of autonomous vehicles is achieved through AI algorithms for perception, path planning, and motion control.
JOURNAL OF SENSORS
(2022)
Article
Engineering, Electrical & Electronic
Tamas Haidegger et al.
Summary: Telesurgical robotics has achieved global clinical adoption as the first domain within medicosurgical robotics. However, its market penetration is still relatively low. The adoption of telesurgical robotics has not reached its full potential due to technical complexity and financial burden. Emerging telesurgical technologies, incorporating artificial intelligence and machine learning solutions, offer significant advantages in clinical practice.
PROCEEDINGS OF THE IEEE
(2022)
Article
Chemistry, Analytical
Eman M. G. Younis et al.
Summary: Automatic recognition of human emotions is a complex process that is influenced by various factors. This study successfully developed a subject-independent multi-modal emotion prediction model using real-time sensor data. The use of ensemble learning techniques improved the accuracy of emotion recognition.
Article
Computer Science, Information Systems
Muhammad Aasim Qureshi et al.
Summary: Robust routing is critical in network communication, maintaining databases for the network topology and requiring updates for efficient communication. Fast construction of shortest-path tree is important in non-delay tolerant intelligent networks.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2022)
Article
Computer Science, Information Systems
Jiechao Gao et al.
Summary: Internet of Things assisted healthcare services provide reliable clinical diagnosis and analysis through resource sharing and concurrent processing. This paper introduces a redemptive resource sharing and allocation scheme to improve data accumulation and exchange by addressing transmission delay, resource allocation, and complexity.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Telecommunications
Jahnvi Tiwari et al.
Summary: Advancements in intelligent transportation require a dependable MAC protocol for high-priority safety broadcasts. This paper presents a Fair and Cooperative MAC protocol for heterogeneous CR-VANETs (FCCR-MAC) that improves system performance and fairness through cooperation and better resource allocation.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2022)
Article
Xavier Aizaga-Villon et al.
IEEE Engineering Management Review
(2022)
Article
Computer Science, Hardware & Architecture
M. A. Jabbar et al.
Summary: The sudden outbreak of COVID-19 has led to global lockdowns and showcased the need for a robust system using IoT technology for prevention and control of contagious diseases. IoT applications in healthcare, particularly the Cognitive Internet of Medical Things, offer promising solutions for monitoring, tracking, diagnosing, and controlling pandemics.
COMPUTERS & ELECTRICAL ENGINEERING
(2022)
Review
Biology
Ramkumar Thirunavukarasu et al.
Summary: Precision Medicine utilizes patients' genomic profiles and healthcare data to provide personalized medical outcomes. Deep learning models significantly influence precision medicine research due to their ability to handle large volumes of data and identify inherent features. This review emphasizes the importance of deep learning-based analytical models in handling big data in precision medicine research.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Engineering, Multidisciplinary
Muhammad Khurram Ehsan et al.
Summary: The CR-enabled radio environment provides a seamless operating framework to meet the requirements of next-generation wireless systems. Traffic characterization studies help optimize the coexistence framework, and the multivariate Gaussian mixture model (MGMM) is proposed in both scenarios for sparse WLAN data traffic.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Eesha Tur Razia Babar et al.
Summary: Accurate measurement and timely communication of vital signs are crucial for determining patient health status in hospitals, but manual monitoring practices and resource scarcity contribute to medical errors. An affordable and automated system utilizing microelectronics and the Internet of things can continuously measure vital signs and automatically alert for life-threatening conditions, improving monitoring efficiency.
IEEE SENSORS JOURNAL
(2021)
Article
Chemistry, Analytical
Marcin Lewandowski et al.
Summary: The recent development of wireless wearable sensor networks has opened up new applications in various fields. A new method based on embedded classifiers has been proposed to extend the network lifetime by avoiding unnecessary data transmissions, which has been shown to significantly prolong network lifetime while maintaining high accuracy in activity recognition.
Article
Telecommunications
Prakash Rajiah et al.
Summary: This paper presents a cooperative communication assisted cognitive wireless sensor network for monitoring health and activity of an end-user in a smart indoor environment, achieving better data delivery with minimal resources and non-intrusive user location tracking. Additionally, a new adaptive multi-channel hopping algorithm is proposed to improve energy efficiency of conventional wireless sensor networks.
WIRELESS PERSONAL COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Ramsha Ahmed et al.
Summary: The integration of cognitive radio technology with the IoT paradigm is proposed to address the challenge of spectrum scarcity. This approach aims to improve spectrum utilization and alleviate the scarcity of spectrum in wireless networks, particularly in the context of IoT applications. Simulation results show the effectiveness of the proposed framework in identifying, classifying, and allocating unoccupied frequency bands in the primary user spectrum, especially in low SNR environments.
Article
Energy & Fuels
Mohammad Asif Hossain et al.
Summary: This paper proposes a segment-based CR-VANET architecture to improve spectrum sensing performance by dividing roads and using machine learning algorithms.
Article
Computer Science, Information Systems
Kemal Davaslioglu et al.
Summary: The DeepWiFi protocol enhances baseline WiFi with deep learning to mitigate out-of-network interference and sustain high throughput. Users benefit from features such as RF front end processing, spectrum sensing, and signal classification, which improve transmission reliability and speed.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Chemistry, Analytical
Ali Hassan Sodhro et al.
Summary: Artificial Intelligence is revolutionizing the sixth generation edge computing in e-healthcare, aiming for cost-effective and efficient healthcare applications. The IoT-driven healthcare system must be smart, interoperable, convergent, and reliable to provide pervasive and cost-effective platforms. Mathematical trade-offs between bandwidth, interoperability, reliability, delay, and energy dissipation are proposed for IoMT-oriented smart healthcare over a 6G platform.
Article
Telecommunications
Xin-Lin Huang et al.
Summary: This article proposes a spectrum access scheme based on Q-learning to pursue high spectrum efficiency through intelligent access to idle spectrum. By integrating indicators such as throughput and collision probability into the reward function, the performance requirements of multimedia applications are met. Simulation results show that the proposed scheme achieves good performance in terms of throughput, power efficiency, and collision probability.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2021)
Article
Engineering, Electrical & Electronic
Alok Kumar Shukla et al.
Summary: This article explores a spectral and energy-efficient wireless body area network for smart healthcare applications, focusing on improved spectrum utilization through cognitive radio technology and energy harvesting protocols. Expression for outage probability is derived for both primary and secondary networks, with insights on throughput and energy efficiency performances in a delay-limited scenario. Key parameters are demonstrated to provide guidelines for practical design, and the proposed analytical framework is verified through Monte Carlo simulations.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Multidisciplinary
Arun Kumar et al.
Summary: OFDM waveform technique plays an important role in smart hospitals, but its impact is limited due to various restrictions. The deployment of 5G networks is expected to meet the demands of smart hospitals, including high spectrum access, massive capacity, high throughput, and low PAPR. The selection of suitable transmission technologies will be crucial for the regularization of 5G-equipped digital hospitals.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Computer Science, Information Systems
Seungwon Lee et al.
Summary: In this study, a non-linear combining scheme for spectrum sensing with multiple receive antennas in impulsive noise environments is proposed based on order statistics. Computer simulations demonstrate that the proposed scheme outperforms conventional schemes in impulsive noise environments with Rayleigh fading.
JOURNAL OF COMMUNICATIONS AND NETWORKS
(2021)
Article
Computer Science, Information Systems
Jinwen Liang et al.
Summary: This article proposes an efficient and privacy-preserving decision tree (PPDT) classification scheme for health monitoring systems. The scheme involves converting a decision tree classifier into Boolean vectors and encrypting them with symmetric key encryption to achieve PPDT classification. Experimental evaluations demonstrate the high efficiency of PPDT in terms of execution time, communication costs, and storage costs on the test data set.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Nor Safira Elaina Mohd Noor et al.
Summary: This study introduces an improved outcome predictive model using absolute power spectral density as input features for training, with RUSBoosted Trees as the classifier. The research found that the absolute PSD in the alpha and gamma bands had higher predictive values for outcomes compared to other methods.
Article
Computer Science, Information Systems
Pronab Ghosh et al.
Summary: A model that incorporates different methods for predicting heart disease was proposed, achieving the highest accuracy when using random forest and Relief feature selection methods. Effective data processing and feature selection were key in the success of the model.
Article
Chemistry, Analytical
Thien Thi Thanh Le et al.
Article
Engineering, Electrical & Electronic
Jiandong Xie et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2020)
Review
Chemistry, Analytical
Abdul Ahad et al.
Article
Engineering, Electrical & Electronic
Yirun Zhang et al.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2020)
Article
Engineering, Electrical & Electronic
Zhenjiang Shi et al.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2020)
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Mohsen Zahiri et al.
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Mohammed S. Hadi et al.
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Arnab Barua et al.
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Shunchao Zhang et al.
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Osman Dikmen et al.
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Moh. Khalid Hasan et al.
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Mohsin Ali et al.
Proceedings Paper
Computer Science, Interdisciplinary Applications
Youness Arjoune et al.
2019 IEEE INTERNATIONAL CONFERENCE ON ELECTRO INFORMATION TECHNOLOGY (EIT)
(2019)
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IET COMMUNICATIONS
(2017)
