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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
Enhanced medical diagnostic reasoning in small language models using reinforcement learning
December 2026
Medical diagnosis is one of the most challenging cognitive tasks in healthcare, with diagnostic errors affecting millions of patients annually. Large Language Models (LLMs) have recently shown real...
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...
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...
A review on object detection in unmanned aerial vehicle surveillance
June 2021
•In this paper, a detailed literature review has been conducted focusing on object detection and tracking using UAVs concerning different applications.•Contribution: Object detection methods applied...
IoT-enabled real-time EEG platform for early autism spectrum disorder diagnosis using deep learning
December 2026
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder marked by persistent challenges in social interaction, communication, and behavioral patterns. The growing evidence shows that individuals...
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...
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...
End-to-end solution for automatic beverage stock detection in supermarkets based on image processing and convolutional neural networks
2024
•An image processing modules system for shelf stock detection was developed.•Valid images for stock detection were classified through a CNN algorithm.•YOLO v2 was chosen for the detection of objects...
A multi-stage composite fuzzy and neuro-adaptive framework for robust cybersecurity risk quantification in critical infrastructure
December 2026
As Information Technology (IT) and Operational Technology (OT) networks converge within critical infrastructure, cybersecurity risk must be quantified under uncertainty and incomplete observability,...
Development of a feature vector for accurate breast cancer detection in mammographic images
December 2026
Breast cancer remains one of the leading causes of mortality among women, making early and accurate detection crucial for effective treatment. Despite the extensive use of deep learning models in mammographic...