Smart Agriculture Using Real-Time IoT-LoRa: Wheat Crop Disease Prediction and Irrigation Management Based on Machine Learning Models

Mohamed Sahnoun,Rachida Touhami,Smail Tedjini,Naim Ramou,Redouane Drai,Omar Kherif

#Smart agriculture #irrigation #IoT #LoRa #crop disease #deep learning #machine learning #fuzzy logic

Machine and Deep Learning Model for EMG Signal Classification: A New Performance-Cost Analysis Across CPU and GPU Architectures

Toka Fathi,Mohammed A M Abdullah,Basil Shukr

#EMG #GPU #decision trees #random forests #KNN #XGboost #LSTM #and CNN-LSTM

Enhancing Smart Farming with IoT Sensors Using FRPGW and HALSTM for Accurate Predictions

Fathima ShreneShifna,Baalaji Kadarkarai

#IoT smart farming #agriculture #FRPGW #HALSTM #ANN #LSTM

Neural Volumetric Representations for Real-Time 3D Scene Reconstruction Using Multi-Modal Learning Algorithm

Pidatala Devendrababu,Preeti Jha

#Deepvoxels #neural rendering technique #NeRF #MMLA

Neural Volumetric Representations for Real-Time 3D Scene Reconstruction Using Multi-Modal

Learning Algorithm,Preeti Jha

#Deepvoxels #neural rendering technique #NeRF #MMLA

Enhancing Smart Farming with IoT Sensors Using FRPGW and HALSTM for Accurate Predictions

Fathima ShreneShifna,Baalaji Kadarkarai

#IoT smart farming #agriculture #FRPGW #HALSTM #ANN #LSTM

Neural Volumetric Representations for Real-Time 3D Scene Reconstruction Using Multi-Modal

Learning Algorithm, Preeti Jha

#Deepvoxels # neural rendering technique # NeRF # MMLA

GNN-DQL-Based Chronic Kidney Disease Classification Using GFR in the Internet of Medical Things Environment

Bhavani Tatiparti,Vydeki Dharmar

#Deep learning #neural network #Q-learning #glomerular filtration rate #mayfly optimization #optimal features #parameter optimization #AMO

GNN-DQL-Based Chronic Kidney Disease Classification Using GFR in the Internet of Medical Things Environment

Bhavani Tatiparti,Vydeki Dharmar

#Deep learning #neural network #Q-learning #glomerular filtration rate #mayfly optimization #optimal features #parameter optimization #AMO

Multicasting Strategies for Increasing Network Efficiency in 5G Using Deep Learning

Wael AlZoubi,Hazem Hatamleh

#Multicasting #network performance #artificial intelligence #deep Q-networks #deep reinforcement learning #quality of service

Multicasting Strategies for Increasing Network Efficiency in 5G Using Deep Learning

Wael AlZoubi,Hazem Hatamleh

#Multicasting #network performance #artificial intelligence #deep Q-networks #deep reinforcement learning #quality of service

A Comprehensive Approach to Combat GPS Spoofing and Ensure Security Positioning in Autonomous Vehicles

Laid Kenioua,Brahim Lejdel,Mohamed Abdelhamid Nedioui

#Autonomous vehicles #positioning security #secure communication #semi-decentralized collaboration architecture #edge computing #data collection #consensus

FD Technology for HSs based on Deep Convolutional Generative Adversarial Networks

Jun Wang,Yuanxi Wang

#CNN #GAN #hydrogen gas #sensors #fault #pattern recognition

FD Technology for HSs based on Deep Convolutional Generative Adversarial Networks

Jun Wang,Yuanxi Wang

#CNN #GAN #hydrogen gas #sensors #fault #pattern recognition

Healthcare Data Security in Cloud Storage Using Light Weight Symmetric Key Algorithm

Vimala Devi Parthasarathy,Kalaichelvi Visvalingam

#Healthcare #RNG #ECDH #AES #cryptography

Smart City Application: Internet of Things (IoT) Technologies Based Smart Waste Collection Using Data Mining Approach and Ant Colony Optimization

Zeki Oralhan,Burcu Oralhan,Yavuz Yiğit

#Ant colony optimization #data mining #IoT smart device #smart city #smart waste management

A Modified Technique of Hybrid Multiobjective Genetic Algorithm for Image Fusion

Jyoti Kulkarni,Rajankumar Bichkar

#Genetic algorithm #hybrid multiobjective genetic algorithm #image fusion

TSO Clustered Protocol to Extend Lifetime of IoT Based Mobile Wireless Sensor Networks

Giji Kiruba Dasebenezer,Benita Joselin

#MWSN #clustering #sensor nodes #TSO #PSO

Fuzzy and Neuro-Fuzzy Modeling of a Fermentation Process

Abstract: Neuro-fuzzy modeling may be qualified as a grey-box technique, since it combines the transparency of rule-based

#Yeast fermentation # fed-batch # takagi-sugeno model # levenberg-marquardt algorithm

in Wireless Sensor Networks

#Wireless sensor networks; compression # routing # en ergy efficiency # lifetime # shortest path Received December 14 # 2007; accepted March 12 # 2008 1