VR-Motion Capture Method Design for the Teaching of Spinning Fitness Games in Universities

Hongzhou Ma,Jiezhong Wu*

#Fitness games #Kinect #Motion capture #Virtual reality #Graph convolutional neural network #Ensemble learning

Towards Collaborative Innovation in Government Governance: Leveraging Artificial Intelligence for Enhanced Public Services

Min Ye,Yejin Liu

#Government collaborative governance #artificial intelligence #government public services #public service innovation

A Dual-Stage Lightweight Framework for Detecting Prompt Injections and Harmful Outputs in Large Language Models

Ali Altalbe,Bharathi Mohan Gurusamy

#Large language models #prompt injection detection #response safety filtering #distilbert #bias detection #adversarial prompt mitigation

Innovative Advertising Data Analysis Method:

Workflow Design Based on Federated Learning and

#Federated learning # large language models # advertising data analysis # privacy‑preserving recommendations # prompt engineering

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

Constrained Convolutional Neural Network Models for Optimizing Fully Connected Layer Weights in CNNs

Ugur Talas,Burakhan Cubukcu,Ugur Yuzgec

#Artificial intelligence #image classification #constrained #convolutional neural network #hyperparameter #deep learning

EEG-Based Epileptic Seizure Detection Using Optimized Spatio-Temporal Graph CNN

Palepu Vijaya Santhi,Sarat K Kotamraju,ChSri Kavya

#Epileptic seizure detection #holistic dynamic frequency transformer #wader hunt optimization algorithm

Vehicle Type Recognition using an Efficient Regularization in Mask_RCNN

Noraqilah Misman,Suryanti Awang,Mohammed Khalaf,Hasan Kahtan

#Vehicle type classification #deep learning #optimized deep learning #computational intelligence

Vehicle Type Recognition using an Efficient Regularization in Mask_RCNN

Noraqilah Misman,Suryanti Awang,Mohammed Khalaf,Hasan Kahtan

#Vehicle type classification #deep learning #optimized deep learning #computational intelligence

Strategic Optimization of Convergence and Energy in Federated Learning Systems

Ghassan Samara,Raed Alazaidah,Ibrahim Obeidat,Mohammad Aljaidi,Mahmoud Odeh,Alaa Elhilo,Sattam Almatarneh,Mo’ath Alluwaici,Essam Aldaoud

#Federated learning #convergence speed #energy efficiency #early stopping #CO₂ emissions #hill-climbing

Integrating UAV Networks and Edge Computing for Smart Cities: Architecture, Techniques, and Future Trends

Antima Jain,Mohammad Muqeem,Muhammad Uzair,Mohammad Ahmed,Anand Rajawat,Ahmad Khan*,Mohammad Hussain,Mohammad Hussain*,Arshad Ali

#UAVs #wearble devices #XAI #consumer electronics #personalized health monitoring #data transparency and ethics

Stimulating the Efficiency of Massive MIMO Cooperative NOMA Applying RIS in 6G Networks

Mohamed Hassan,Khalid Hamid,Elmuntaser Hassan,Imadeldin Elmutasim,Izzeldin Mohamed

#Cooperative NOMA #massive MIMO #CR #RIS #SE #millimeter-wave

Strategic Optimization of Convergence and Energy in Federated Learning Systems

Ghassan Samara,Raed Alazaidah,Ibrahim Obeidat,Mohammad Aljaidi,Mahmoud Odeh,Alaa Elhilo,Sattam Almatarneh,Mo’ath Alluwaici,Essam Aldaoud

#Federated learning #convergence speed #energy efficiency #early stopping #CO₂ emissions #hill-climbing

Integrating UAV Networks and Edge Computing for Smart Cities: Architecture, Techniques, and Future Trends

Antima Jain,Mohammad Muqeem,Muhammad Uzair,Mohammad Ahmed,Anand Rajawat,Ahmad Khan*,Mohammad Hussain,Mohammad Hussain*,Arshad Ali

#UAVs #wearble devices #XAI #consumer electronics #personalized health monitoring #data transparency and ethics

Stimulating the Efficiency of Massive MIMO Cooperative NOMA Applying RIS in 6G Networks

Mohamed Hassan,Khalid Hamid,Elmuntaser Hassan,Imadeldin Elmutasim,Izzeldin Mohamed

#Cooperative NOMA #massive MIMO #CR #RIS #SE #millimeter-wave

Exploring the Intersection of Information Theory and Machine Learning

Yousef Jaradat,Mohammad Masoud,Ahmad Manasrah,Mohammad Alia,Khalid Suwais,Sally Almanasra

#Information theory #machine learning #entropy #mutual information #information bottleneck

An Efficient Integrity and Authenticated Elliptic Curve Cryptography Algorithm for Secure Storage and Routing in TLS/SSL

Josepha Menandas,Mary Subaja

#Elliptic curve cryptography #transport layer security #confidentiality #authentication #integrity #chinese remainder theorem #hash algorithm #point arithmetic

Exploring the Intersection of Information Theory and Machine Learning

Yousef Jaradat,Mohammad Masoud,Ahmad Manasrah,Mohammad Alia,Khalid Suwais,Sally Almanasra

#Information theory #machine learning #entropy #mutual information #information bottleneck

An Efficient Integrity and Authenticated Elliptic Curve Cryptography Algorithm for Secure Storage and Routing in TLS/SSL

Josepha Menandas,Mary Subaja

#Elliptic curve cryptography #transport layer security #confidentiality #authentication #integrity #chinese remainder theorem #hash algorithm #point arithmetic

Cyber Threat Defense in Power Grids: Introducing the Grid-Lock Secure-Chain Consensus Framework

Rashi Saxena,Lalitha Kumari

#Blockchain #cyber threats #proof of vote #smart grid #security #consensus mechanism