TSRL: Boosting IoT Edge Time Series Database Scalability through Lightweight Rate Limiter

Ahmed El-Naggar,Magdy Nagi,Sahar Ghanem

#IoT #edge computing #time series #database #rate limiter

Minimum Extraction of Sub-ROI for Near-Lossless Compression on Medical DICOM Image

Ghalib Salman,Arif Arif,Sarina Mansor

#Medical image compression #Sub-ROI #near-lossless compression #DICOM Images #coding techniques

Cognitive-Fuzzy Learning System-Based University English Smart Classroom Teaching Design and Application

Ningyi Lai

#Real-time teaching strategies #cognitive-fuzzy learning systems #smart classrooms #adaptive learning model #fuzzy logic in education #university english teaching #language education technology

A Fuzzy Decision System for Providing Emotional Support to College Students via Customization

Guoan Liu,Zumeng Wang,Peihua Xu,Heung Kou

#Fuzzy multicriteria decision-making #emotional support #customization #mamdani fuzzy inference

Adversarially-Resilient Deep Learning Framework for Detecting Evasive Cyber Threats in Network Traffic

Nasser Alsharif

#adversarial #deep Learning #IDS #network traffic #cyber threats

Towards Resilient Distributed Computing: A Self-Healing Fault Tolerance Framework Using Hybrid AI Models

Mohd Haroon,Zeeshan Ali Siddiqui*,Arshad Ali*,Mohammad Husain

#Fault tolerance #LSTM #Q-learning #self-healing systems #distributed computing #reinforcement learning #system resilience #MTTR

Multipath Routing Protocol: For Wireless Ad-hoc Networks Based on Fibonacci

Adnan Ahmad,Noor Mast,Faten Khalid Karim,Fasee Ullah,Carolina Del-Valle-Soto,Mohamad Khairi Ishak,Samih M. Mostafa,Jose Varela-Aldas

#Channel contention #CCBR #MCBR #multi-path routing #wireless ad hoc networks

Application Research of Object Detection Model Based on Deep Learning in Video Surveillance Process

Xuechun Wang,Feifei Cheng,Junhao Jia

#object detection #deep learning #IFasterR-CNN #video surveillance #K-means

The Demonstration of Generative AI in the Development of Process Architecture: The Case of Bank Deposits

Mohammad Sabri,Ahmad Samhan,Ghassan Samara,Sami Abuezhayeh,Mahmoud Odeh,Sulieman Mohammad

#Business process architecture #Riva method #GAI #ChatGPT #DeepSeek #process modelling #large language models

A Systematic Review of Frameworks, Performance Metrics, and Threat Analysis in Blockchain-based E-Voting Systems

Muthu Meenakshi Ganesan,Sabeen Selvaraj

#Blockchain #blockchain frameworks #electronic voting #consensus #cryptography #scalability #threat analysis

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

Unlocking Decision-Making Performance through Data Governance and Availability: Structural and Predictive Evidence from Jordan

Nasim Matar,Amneh Aljaber,Wasef Mater

#Decision-making #resource-based theory #structural equation modelling #multiple regression

Machine Learning-Based Forecasting and Optimization of Water and Energy Consumption in GCC Countries: A Path Toward Regional Sustainability

Mohammad Nasar,Mohammad Abu Kausar

#Machine learning #long short-term memory #prophet #arima #water management #energy management #gulf cooperation council #sustainable development #oman vision 2040

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

Optimizing Multimodal RAG Systems for Multilingual Product Support

Mudit Garg,Nandita Namboodiri,Krisha Joshi,Karthik Krishna,Deepali Vora

#Retrieval-augmented generation #multimodal language models #vision-language models #indic languages #AI for technical support

Multi-Classification of Chest X-Ray Images Using an Enhanced Deep Learning Approach

Revathi Annam,Savadam Balaji

#Lung diseases #CXR images #gaussian filtering #enhanced resnet50v2 #and enhanced deeplabv3+

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

Machine Learning Perspective Sattam Almatarneh

Dept. Data Science and AI Zarqa UniversityZarqa,Jordan

#Islamic architecture #deep learning #machine learning classifiers #Histogram of Oriented Gradients (HOG) #LocalBinary Patterns (LBP) #Convolutional Neural Networks (CNNs) #image classificationReceived DD Month YYYY; accepted DD Month YYYYhttps://doi

Pattern Recognition in Islamic Architecture: Machine Learning Perspective

Sattam Almatarneh,Noura Qazza,Ahmad Al Smadi

#Islamic architecture #deep learning #machine learning classifiers #Histogram of Oriented Gradients (HOG) #LocalBinary Patterns (LBP) #Convolutional Neural Networks (CNNs) #image classificationReceived January 05 #2025; accepted March 15 #2025https://doi