Optimized Predictive Modeling of Lane-Specific Vehicle Time Gaps for Traffic Flow and Road Management

Haiyun Sun,Bian Ke,Junlin Sha,Shidi Wu,Menglu Chen

#Time gap #lane-specific factors #traffic management #machine learning #prediction

Genetic Algorithms Application to Recognize the Arabic Back Obstruent Sounds in Continuous Speech

Aissiou Mohammad

#Speech processing #acoustic-phonetic decoding #automatic speech recognition #genetic algorithms searching #arabic back obstruents

Hybrid Ensemble Based Machine Learning Approach for Cardiovascular Disease Risk Prediction Using Multiple Integrated Datasets

Sravanthi Jakkula,Raju Bhukya

#Cardiovascular diseases #machine learning algorithms #stacked models #disease prediction

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

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

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

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 Improved Taylor Hyperbolic Tangent and Sigmoid Activations for Avoiding Vanishing Gradients in Recurrent Neural Nets

Tirupati Gullipalli,Krishna Murali,Srinivasa Peri

#Vanishing gradient #taylor expansion #functional approximation #sigmoid #hyperbolic tangent #neural networks

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 Improved Taylor Hyperbolic Tangent and Sigmoid Activations for Avoiding Vanishing Gradients in Recurrent Neural Nets

Tirupati Gullipalli,Krishna Murali,Srinivasa Peri

#Vanishing gradient #taylor expansion #functional approximation #sigmoid #hyperbolic tangent #neural networks

Improving Student Engagement in College Education with Fuzzy Control Algorithm

Yan Chen

#Fuzzy controller #mamdani fuzzy inference system #adaptive control #modified salp swarm #engagement level

Enhanced Nucleus Segmentation with Sobel Edge Detection and Attention Gate with Modified UNET

Sravanthi Jakkula,Raju Bhukya

#UNET #nucleus segmentation #sobel filter

Interactive Query Expansion using Concept-Based Directions Finder Based on Wikipedia

Yuvarani Meiyappan,Sriman Narayana Iyengar

#Interactive query expansion #term suggestion #direc tion finder #term extractor #web search #Wikipedia

A Two-Stage Method of Cervical Cancer Detection using Hybrid Classification Methods

Orasa Patsadu,Srisuda Soranunsri,Chananate Arthayukti

#Cervical cancer #hybrid classification methods #two stage classification #machine learning #healthcare

A Machine Learning Attempt for Anatomizing Software Risks in Small and Medium Agile Enterprises

Ayesha Ziana Mohamed,Charles Jebapillai

#Software risk analysis #software risk classification #risk prediction #machine learning #agile software risk assessment

Trust Enabled Secure Routing in Vehicular Adhoc Networks

M Venkata Krishna Reddy,G Kiran Kumar,Panduranga Vital Terlapu,D. Jayaram,Shirina Samreen

#Mobility #reliability #secure routing #trust #VANET