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...
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...
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...
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...
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...
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...
Bibliometric analysis of author count, funding, and citations in AI research
December 2026
•This study employs three content analysis methods, including descriptive statistics, the chi-square test, and ANOVA test.•Descriptive statistics aim to provide a basic overview of the research data,...
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...
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,...
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...
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...
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...
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...
Fake News Classification using transformer based enhanced LSTM and BERT
June 2022
•Fake News has been a concern all over the world and social media has only amplified this phenomenon and it has been affecting the world on a large scale as these are targeted to sway the decisions...
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...
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...
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,...
Data-driven strategies for digital native market segmentation using clustering
2024
The rapid growth of internet users and social networking sites presents significant challenges for entrepreneurs and marketers. Understanding the evolving behavioral and psychological patterns across...
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...
Blockchain-based decentralized smart healthcare using improved wild horse optimizer with Graph Convolutional Autoencoder in IoT environment
December 2026
The Internet of Things (IoT) continues to expand by incorporating physical devices, software, computing systems, and hardware that facilitate communication and data exchange. Its integration into healthcare,...
Facial expression recognition via ResNet-50
June 2021
•We propose a deep residual network ResNet-50 for facial expression recognition.•Convolution operation is used to extract features and pooling is used to reduce dimension of features.•BN and activation...
NeuroEvolve: A brain-inspired mutation optimization algorithm for enhancing intelligence in medical data analysis
December 2026
Medical data analysis often suffers from high dimensionality, noise, and complex non-linear patterns, causing traditional optimization-based learning methods to converge slowly and leads to suboptimal...