☆ 4.6 Article

Environmental Prediction in Cold Chain Transportation of Agricultural Products Based on K-Means++ and LSTM Neural Network

PROCESSES (2023)

Related references

Note: Only part of the references are listed.

Article Computer Science, Artificial Intelligence

Power normalized cepstral robust features of deep neural networks in a cloud computing data privacy protection scheme

Mianjie Li et al.

Summary: Deep Neural Networks (DNNs) have shown rapid development in data privacy protection applications, but they require high-speed and high-memory computers for computation. Cloud computing is increasingly used for training and executing DNNs. The proposed PNC-RFD in this paper utilizes deep learning in the cloud computing for data privacy protection and demonstrates its superiority through performance analysis.

NEUROCOMPUTING (2023)

Add to Collection

Article Food Science & Technology

Improvement of blueberry freshness prediction based on machine learning and multi-source sensing in the cold chain logistics

Wentao Huang et al.

Summary: This paper proposes a new method for fruit freshness prediction using multi-sensing technology and machine learning algorithms. By monitoring key gas parameters, the method improves the prediction accuracy. Experimental results show that this method outperforms traditional methods in terms of prediction accuracy.

FOOD CONTROL (2023)

Add to Collection

Article Engineering, Industrial

Multi-objective robust optimisation model for MDVRPLS in refined oil distribution

Xiaofeng Xu et al.

Summary: This study addresses the refined oil distribution problem with shortages using a multi-objective optimization approach, including a robust optimization model (ROM) to manage uncertainty in demand and a multi-objective particle swarm optimization (MOPSO) algorithm. Results show that these models and algorithms effectively improve station satisfaction, reduce operation costs and overtime penalties, providing possibilities for the efficient distribution of scarce resources.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

TBSM: A traffic burst-sensitive model for short-term prediction under special events

Yilong Ren et al.

Summary: Traffic prediction is crucial for traffic guidance and control, and it serves as a valuable decision-making tool for travelers to plan their routes and avoid congested roads. To tackle the challenge of short-term traffic prediction for special events, a traffic burst-sensitive model (TBSM) is proposed, which outperforms traditional machine learning and deep learning approaches according to experimental results.

KNOWLEDGE-BASED SYSTEMS (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Adaptive control of time delay teleoperation system with uncertain dynamics

Siyu Lu et al.

Summary: In this paper, a bilateral adaptive control method based on PEB control structure is proposed to study the uncertainty of dynamic parameters and time delay. The stability and tracking performances of the closed-loop constant time delay teleoperation system are analyzed using Lyapunov stability theory. The simulation results show that the proposed method has good control performance.

FRONTIERS IN NEUROROBOTICS (2022)

Add to Collection

Article Chemistry, Multidisciplinary

A Semi-Supervised Extreme Learning Machine Algorithm Based on the New Weighted Kernel for Machine Smell

Wei Dang et al.

Summary: Machine sense of smell plays an important role in various scenarios, but it relies on data and algorithms for support. This study proposes a semi-supervised extreme learning machine algorithm, SELMWK, which combines weighted kernel with SKELM to handle a small amount of labeled data and a large amount of unlabeled data, achieving good classification performance.

APPLIED SCIENCES-BASEL (2022)

Add to Collection

Article Chemistry, Multidisciplinary

Research on Strawberry Cold Chain Transportation Quality Perception Method Based on BP Neural Network

Jiping Qiao et al.

Summary: This paper proposes a strawberry quality perception method based on the correlation between environmental parameters and strawberry quality parameters. The method constructs a shelf-life prediction model using a neural network, and a cold chain transportation quality perception system is built to monitor the cold chain environment and commodity quality. The results show that the method can accurately predict the remaining shelf-life of strawberries and reflect real-time vehicle operation.

APPLIED SCIENCES-BASEL (2022)

Add to Collection

Article Computer Science, Information Systems

User OCEAN Personality Model Construction Method Using a BP Neural Network

Xiaomei Qin et al.

Summary: In the era of big data, analyzing user behavior patterns on social networking sites can predict their personality models and improve the accuracy and efficiency of predictions.

ELECTRONICS (2022)

Add to Collection

Article Food Science & Technology

Egg Freshness Prediction Model Using Real-Time Cold Chain Storage Condition Based on Transfer Learning

Tae Hyong Kim et al.

Summary: This study proposes a deep learning-based Haugh unit prediction model to determine the freshness of eggs using non-destructively measured weight loss. The results show that applying data augmentation technique and deep learning algorithms can improve the prediction performance.

FOODS (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Real-time temperature prediction in a cold supply chain based on Newton's law of cooling

Iurii Konovalenko et al.

Summary: Many goods, including pharmaceuticals, require close monitoring of temperature. Existing temperature prediction methods are focused on long-term forecasts, but there is a need for a method that can provide real-time predictions for unexpected ambient temperature changes.

DECISION SUPPORT SYSTEMS (2021)

Add to Collection

Article Environmental Sciences

A Haze Prediction Model in Chengdu Based on LSTM

Xinyi Wu et al.

Summary: The paper discusses the formation of haze, proposes a multilayer long short-term memory haze prediction model, and improves prediction performance by adding layers. Research shows that this approach can make the network predict haze more accurately and efficiently.

ATMOSPHERE (2021)

Add to Collection

Article Computer Science, Information Systems

Method of Reaching Consensus on Probability of Food Safety Based on the Integration of Finite Credible Data on Block Chain

Li Yan et al.

Summary: This paper proposes a new method to promote the social co-governance of food safety using blockchain technology, and validates the effectiveness of the scheme, model, and algorithm in an experimental environment, providing a new approach to address food safety issues.

IEEE ACCESS (2021)

Add to Collection

Article Energy & Fuels

Time-series well performance prediction based on Long Short-Term Memory (LSTM) neural network model

Xuanyi Song et al.

JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2020)

Add to Collection

Article Mathematics, Applied

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

Alex Sherstinsky

PHYSICA D-NONLINEAR PHENOMENA (2020)

Add to Collection

Article Automation & Control Systems

Time Series Prediction of Wastewater Flow Rate by Bidirectional LSTM Deep Learning

Hoon Kang et al.

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Multi-output bus travel time prediction with convolutional LSTM neural network

Niklas Christoffer Petersen et al.

EXPERT SYSTEMS WITH APPLICATIONS (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

EA-LSTM: Evolutionary attention-based LSTM for time series prediction

Youru Li et al.

KNOWLEDGE-BASED SYSTEMS (2019)

Add to Collection

Review Computer Science, Artificial Intelligence

A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures

Yong Yu et al.

NEURAL COMPUTATION (2019)

Add to Collection

Article Chemistry, Analytical

County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model

Jie Sun et al.

SENSORS (2019)

Add to Collection

Article Computer Science, Information Systems

A Novel Combined Prediction Scheme Based on CNN and LSTM for Urban PM2.5 Concentration

Dongming Qin et al.

IEEE ACCESS (2019)

Add to Collection

Article Thermodynamics

An overview of current status of cold chain in China

Hongxia Zhao et al.

INTERNATIONAL JOURNAL OF REFRIGERATION (2018)

Add to Collection

Article Food Science & Technology

Shelf-life prediction models for ready-to-eat fresh cut salads: Testing in real cold chain

Theofania Tsironi et al.

INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY (2017)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Semi-supervised k-means plus

Jordan Yoder et al.

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION (2017)

Add to Collection

Article Optics

SPECTRAL-SPATIAL CLASSIFICATION WITH K-MEANS++ PARTICIONAL CLUSTERING

E. A. Zimichev et al.

COMPUTER OPTICS (2014)

Add to Collection

Article Computer Science, Information Systems

Scalable K-Means++

Bahman Bahmani et al.

PROCEEDINGS OF THE VLDB ENDOWMENT (2012)

Add to Collection

Article Agriculture, Multidisciplinary

A novel methodology for the monitoring of the agricultural production process based on wireless sensor networks

Soledad Escolar Diaz et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2011)

Add to Collection

Article Food Science & Technology

Continuous quality and shelf life monitoring of retail-packed fresh cod loins in comparison with conventional methods

Nga T. T. Mai et al.

FOOD CONTROL (2011)

Add to Collection

Article Computer Science, Artificial Intelligence

Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network

Zhang Yudong et al.

EXPERT SYSTEMS WITH APPLICATIONS (2009)

Add to Collection

Article Thermodynamics

Prediction of the air temperature and humidity at the outlet of a cooling coil using neural networks

K. Suleyman Yigit et al.

INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER (2006)

Add to Collection

Article Computer Science, Artificial Intelligence

Learning to forget: Continual prediction with LSTM

FA Gers et al.

NEURAL COMPUTATION (2000)

Add to Collection

© Peeref 2019-2024. All rights reserved.