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...
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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...
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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...
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Image cyberbullying detection and recognition using transfer deep machine learning
2024
•This research addresses shortcomings in existing literature and offers a new perspective in the fight against cyberbullying.•It proposes a hybrid approach that utilizes the strengths of both deep learning...
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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...
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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...
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Continuous word level sign language recognition using an expert system based on machine learning
June 2023
•A sign language database consisting of 80 classes was created.•Classification was performed using two approaches, namely, SVM with mediapipe and YOLOv4.•An expert system was designed which combined...
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An ensemble approach for classification and prediction of diabetes mellitus using soft voting classifier
June 2021
•World Health Organization (WHO) reported globally that adult diabetes patients have nearly doubled since 1980, rising from 4.7% to 8.5%. In 2012, 1.5 million people died due to diabetes.•The early...
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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...
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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,...
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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...
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Comparison of multiclass classification techniques using dry bean dataset
June 2023
•Multiclass classification approaches are used for the classification of this study.•This paper uses statistical approach IQR and heatmap for data preprocessing.•Adaptive Synthetic (ADASYN) approach...
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Medical image fusion method by deep learning
June 2021
•Deep learning models can extract the most effective features automatically from data to overcome the difficulty of manual design. In this paper, deep learning model is intended to be introduced into...
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DDSS: Driver decision support system based on the driver behaviour prediction to avoid accidents in intelligent transport system
2024
•Driver behaviour prediction algorithm constructed based on driver physical parameters and external parameters.•Driver physical parameters measures the driver drowsiness and alcohol consumption and...
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Diabetic retinopathy detection using principal component analysis multi-label feature extraction and classification
June 2023
•Transfer learning was applied using three state-of-the-art CNN architectures, ResNet50, ResNet152, and SqueezeNet1 with parameter-tuning to classify the lesions.•The experimental findings revealed...
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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...
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Automatic COVID-19 prediction using explainable machine learning techniques
June 2023
The coronavirus is considered this century's most disruptive catastrophe and global concern. This disease has prompted extreme social, psychological and economic impacts affecting millions of people...
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Navigating the Nexus: A systematic review of the symbiotic relationship between the metaverse and gaming
2024
•Present a detailed review on the impact of metaverse on the gaming industry and communities.•Present insights into key dimensions and mechanisms of the symbiotic relationship between the metaverse...
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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...
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Twitter sentiment analysis using conditional generative adversarial network
2024
•In this paper, Conditional Generative Adversarial Network (CGAN), a deep learning framework for sentiment analysis for twitter is proposed.•The Convolutional Neural Network (CNN) a deep learning technique...
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Deep learning based assistive technology on audio visual speech recognition for hearing impaired
June 2022
•Assistive technology on speech to text conversion for hearing impaired students.•Performance of the system boost using multi modal features.•Lip reading architecture capture visual speech recognition.•Deep...
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Evolutionary trends in progressive cloud computing based healthcare: Ideas, enablers, and barriers
June 2022
•Cloud computing is one of the significant facilitators of the health information revolution in the healthcare.•This technology establishes standard accessible hardware for diverse healthcare applications...
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A novel and secured email classification and emotion detection using hybrid deep neural network
2024
•A challenge that hasn't been fully solved yet is measuring semantic relationships and similarities of WordNet ontologies to semantically reduce email functionality.•As far as aware no research has...
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A review of the application of deep learning in the detection of Alzheimer's disease
June 2022
•Alzheimer's disease (AD) detection using deep learning was reviewed.•Patch based and ROI based feature extraction methods are used most frequently and effectively.•Preprocessing technology is key to...
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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...
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