WallNet: Hierarchical Visual Attention-Based Model for Putty Bulge Terminal Points Detection.

AIME-solve: Accessible interactive mathematical expressions solver for optimized learning and visual empowerment.

Proactive and data-centric Internet of Things-based fog computing architecture for effective policing in smart cities.

Next-Generation Text Summarization: A T5-LSTM FusionNet Hybrid Approach for Psychological Data.

DEBCM: Deep Learning-Based Enhanced Breast Invasive Ductal Carcinoma Classification Model in IoMT Healthcare Systems.

Leveraging machine learning for the detection of structured interference in Global Navigation Satellite Systems.

SLOG: smartphone-based semantic lifelogging framework for digital prosthetic memory development.

NPR-LBN: next point of interest recommendation using large bipartite networks with edge and cloud computing.

Efficient Classification of ECG Images Using a Lightweight CNN with Attention Module and IoT.

Pashto Handwritten Invariant Character Trajectory Prediction Using a Customized Deep Learning Technique.

Customer Analysis Using Machine Learning-Based Classification Algorithms for Effective Segmentation Using Recency, Frequency, Monetary, and Time.

Transformation Invariant Pashto Handwritten Text Classification and Prediction.

Investigating the Effectiveness of Novel Support Vector Neural Network for Anomaly Detection in Digital Forensics Data.

MCNN: a multi-level CNN model for the classification of brain tumors in IoT-healthcare system.

TILPDeep: A Lightweight Deep Learning Technique for Handwritten Transformed Invariant Pashto Text Recognition.

A Novel Approach to Improve Software Defect Prediction Accuracy Using Machine Learning.

Improving Security Architecture of Internet of Medical Things: A Systematic Literature Review.

Exploring the Landscape of Automatic Text Summarization: A Comprehensive Survey.

Non Functional Requirements Identification and Classification Using Transfer Learning Model.

Practices of De-Motivators in Adopting Agile Software Development Methods at Large Scale Development Teams From Management Perspective.

IIMFCBM: Intelligent Integrated Model for Feature Extraction and Classification of Brain Tumors Using MRI Clinical Imaging Data in IoT-Healthcare.

Software defect prediction employing BiLSTM and BERT-based semantic feature.

ConTEXT: context-aware adaptive SMS client for drivers to reduce risky driving behaviors.

Characterization of English Braille Patterns Using Automated Tools and RICA Based Feature Extraction Methods.

Haptic Feedback to Assist Blind People in Indoor Environment Using Vibration Patterns.

Cooperative Energy-Efficient Routing Protocol for Underwater Wireless Sensor Networks.

SPR-SMN: scientific paper recommendation employing SPECTER with memory network.

Diverse image enhancer for complex underexposed image.

Stacking approach for accurate Invasive Ductal Carcinoma classification.

Analysis of Tree-Family Machine Learning Techniques for Risk Prediction in Software Requirements.

RM-ADR: Resource Management Adaptive Data Rate for Mobile Application in LoRaWAN.

Detection of Touchscreen-Based Urdu Braille Characters Using Machine Learning Techniques.

Analyzing Drivers' Distractions due to Smartphone Usage: Evidence from AutoLog Dataset.

Real-Time Pashto Handwritten Character Recognition Using Salient Geometric and Spectral Features.

TetraMail: a usable email client for blind people.

Towards the Design of Context-Aware Adaptive User Interfaces to Minimize Drivers' Distractions.

AutoLog: Toward the Design of a Vehicular Lifelogging Framework for Capturing, Storing, and Visualizing LifeBits.

SmartOntoSensor: Ontology for Semantic Interpretation of Smartphone Sensors Data for Context-Aware Applications.

Assessing the Quality of Web Content.