Automatic Speech Recognition: A survey of deep learning techniques and approaches
December 2025
Significant research has been conducted during the last decade on the application of machine learning for speech processing, particularly speech recognition. However, in recent years, deep learning...
Integrating artificial intelligence and quantum computing: A systematic literature review of features and applications
December 2026
•Novel synthesis of 30+ studies detailing the state-of-the-art in the integration of AI and QC, highlighting quantum machine learning, optimization techniques, and sector-specific applications.•Identification...
A systematic literature review of quantum machine learning for medical: trends, datasets, topics, and methods
December 2026
•Publication of QML in the medical field has grown rapidly since 2023, with IEEE as the leading source.•Medical image datasets (MRI, X-ray, CT) dominate, followed by biological signals (EEG, ECG) and...
Deep learning for object recognition: A comprehensive review of models and algorithms
December 2025
The rapid advancements in artificial intelligence (AI) and machine learning (ML) have significantly enhanced progress in computer vision, opening doors to innovative technological possibilities and...
An ensemble machine learning based bank loan approval predictions system with a smart application
June 2023
Banks rely heavily on loans as a primary source of revenue; however, distinguishing deserving applicants who will reliably repay loans presents an ongoing challenge. Conventional selection processes...
Text clustering with large language model embeddings
December 2025
Text clustering is an important method for organising the increasing volume of digital content, aiding in the structuring and discovery of hidden patterns in uncategorised data. The effectiveness of...
Optimization and performance analysis of Drones and Unmanned Aerial Systems and Their Intelligence Applications
December 2026
•The study highlighted the main principles of autonomous navigation and its mathematical aspects.•The study presented an optimization model for path loss modelling and provided a comparative analysis...
Transforming legal texts into computational logic: Enhancing next generation public sector automation through explainable AI decision support
December 2026
This research presents a novel approach for translating legal texts into machine-executable computational logic to support the automation of public sector processes. Recognizing the high-stakes implications...
IoT-powered assistive technology for real-time translation of sign language
December 2026
Communication is a fundamental human right. However, millions of deaf individuals worldwide continue to face significant barriers in their daily interactions due to the lack of accessible communication...
Multilingual sentiment analysis in e-commerce customer reviews using GPT and deep learning-based weighted-ensemble model
December 2026
As the e-commerce platforms grew exponentially, the volume of multilingual customer reviews increased, indicating that sentiment analysis is a priceless tool for finding consumer sentiment, enhancing...
Enhancing personalized learning: AI-driven identification of learning styles and content modification strategies
2024
In the rapidly advancing era of educational technology, customized learning materials have the potential to enhance individuals’ learning capacities. This research endeavors to devise an effective method...
Exploring the potential of 3D scanning in Industry 4.0: An overview
June 2022
•A 3D scanner is a non-contact, non-destructive digital device that uses a light/laser source to accurately capture the shape of a physical object into computer-aided design (CAD) data.•It generates...
Fake review detection using transformer-based enhanced LSTM and RoBERTa
2024
•Comprehensive examination of various methodologies in the identification of false reviews.•A novel and practical approach that leverages transformer architecture to identify fake reviews.•A comprehensive...
Application of the vision-based deep learning technique for waste classification using the robotic manipulation system
December 2025
To maintain a green society, efficient waste management is crucial. Traditional manual trash sorting presents several challenges, including inaccuracies in classification and potential health risks...
Object detection using YOLO oriented bounding box for robot grasping applications
December 2026
•A real-time grasping system is developed using YOLOv11 with Oriented Bounding Boxes (YOLOv11-OBB) for both object detection and classification.•The system integrates RGB-based grasp estimation and...
Technology-Assisted Language Learning Adaptive Systems: A Comprehensive Review
June 2023
•Comprehensive review of trends and development of technology-assisted language learning (TALL) adaptive systems is presented.•Resulting studies have been analyzed from three dimensions viz. spatial...
Deep learning-based human activity recognition using CNN, ConvLSTM, and LRCN
2024
Human activity recognition (HAR) plays a crucial role in assisting the elderly and individuals with vascular dementia by providing support and monitoring for their daily activities. This paper presents...
Clock synchronization in industrial Internet of Things and potential works in precision time protocol: Review, challenges and future directions
June 2023
•This research investigated and analyzed IEEE 1588 PTP-based synchronization methods for IoT and industrial applications in depth.•The efficiency and working principle of different time synchronization...
Multi-label emotion and sentiment detection from Bengali text using hybrid deep learning model
December 2026
Emotion and sentiment play a significant role in many applications, such as e-commerce, public mental health, and online media security. Several works have been conducted on emotion and sentiment detection,...
Analysis of emotional tendencies and discourse patterns in VKontakte social comments based on Nvivo12 encoding
December 2026
•Influence of VKontakte Comments: Comments on VKontakte impact government policies, public attitudes, and international relations, making them crucial for analysis.•Emotional Tendencies During COVID-19...
Segmentation and classification of brain tumor using 3D-UNet deep neural networks
June 2022
•The proposed work considers an image registration model, a 3D U-Net model, for the volumetric segmentation of the brain tumor.•The next step is the classification of the brain tumors into meningioma,...
Machine learning based diabetes prediction and development of smart web application
June 2021
•The goal of this work is to find effective machine learning based classifier models for detecting diabetes in individuals utilizing clinical data.•The results of this study suggest that an appropriate...
Service placement in fog computing: A systematic review of issues, techniques and multi-objective optimization approaches
December 2026
Service placement in fog computing has emerged as a fundamental research problem for enabling latency-sensitive and resource-constrained Internet of Things (IoT) applications. Although numerous optimization...
A survey of adversarial threats and defenses for traffic sign recognition in autonomous vehicles
December 2026
Autonomous and intelligent vehicles increasingly rely on perception pipelines that must operate reliably under uncertainty and adversarial manipulation. Traffic Sign Recognition (TSR) is a safety critical...
Multi-class sentiment classification on Bengali social media comments using machine learning
June 2023
•In recent years, immense work has been done on sentiment analysis directed towards the binary (positive, negative) or ternary (positive, neutral, negative) classification. Due to the complexity of...
