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ISSN: 2666-3074

Integration of Artificial Intelligence and wearable Intenet of Things for mental health detection

The integration of Artificial Intelligence (AI) and Wearable Internet of Things (WIoT) for mental health detection is a promising area of research with the potential to revolutionize mental health monitoring...

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Advanced Deep Learning for Masked Individual Surveillance

•To the best of our knowledge, this is the first attempt to develop a deep learning model to detect anomaly events of masked people neglecting the faces features.•Also, to the best of our knowledge,...

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Innovative augmented and virtual reality applications for disease diagnosis based on integrated genetic algorithms

•This comprehensive paper proposes a method for detecting diseases using Audio Reality/Virtual Reality (AR/VR) techniques.•The study integrates Genetic Algorithm (GA), Ant Colony Optimization (ACO),...

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Human-like evaluation by facial attractiveness intelligent machine

•We present an intelligent system to learn the concept of women's facial attractiveness and generate a human-like predictor for ranking attractiveness.•The results clearly show that facial attractiveness...

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Multi-class sentiment classification on Bengali social media comments using machine learning

•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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Judicial nested named entity recognition method with MRC framework

•Introduce the machine reading comprehension framework into the named entity recognition in the judicial field, and propose a method based on the machine reading comprehension, which effectively solves...

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The Research on Relative Knowledge Distances and Their Cognitive Features

•The notion of relative fuzzy knowledge distances is first explored in light of relative cognitive principles in this paper.•The transformation difficulty depicts between any two fuzzy knowledge is...

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Technology-Assisted Language Learning Adaptive Systems: A Comprehensive Review

•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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Remarks on path-factor critical avoidable graphs

Zhou (2023) introduced the concept of path-factor critical avoidable graph and determined several parameter bounds for (P≥2,n) or (P≥3,n)-factor critical avoidable graphs. Certain instances are listed...

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New hybrid decentralized evolutionary approach for DIMACS challenge graph coloring & wireless network instances

•New hybrid decentralized evolutionary approach that applies the fixed colors & reduces the edge conflicts.•Minimizes the complexity and converges to the optimal solution within a minimal time.•Minimum...

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Progress and prospects of data-driven stock price forecasting research

•Stock price prediction has become an important research direction in the field of cognitive computing in engineering.•The article reviews the literature on stock price forecasting methods, and classifies...

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Handwritten devanagari manuscript characters recognition using capsnet

•The authors have worked on Devanagari manuscript dataset for character recognition.•The complete dataset was segmented into characters using MicrosoftVoTT and similar characters were grouped in classes.•Monitoring...

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Design of improved deer hunting optimization enabled multihop routing protocol for wireless sensor networks

•This study introduces an improved deer hunting optimization enabled multihop routing (IDHO-MHR) protocol for WSN.•In addition, the IDHO-MHR technique primarily derives a fitness function with the inclusion...

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A Delay-Tolerant low-duty cycle scheme in wireless sensor networks for IoT applications

Energy efficiency is an existing research challenge in wireless sensor networks (WSNs); to make WSNs energy efficient, many researchers moved to low-duty cycle WSNs with different data forwarding schemes....

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Optimization for position and rating of distributed generating units using bacteria foraging algorithm to reduce power losses

•In BFO, faster convergence and better spree of solutions is possible because of combined working of pareto supremacy mechanism and health categorization approach.•Unfeasible border solutions are utilized...

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Transformer based Answer-Aware Bengali Question Generation

•Explored answer-aware Question generation (QG) text generation for a low-resource language, Bengali.•Trained multilingual and monolingual T5 models to generate questions.•Compared the impact of the...

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Comparison of multiclass classification techniques using dry bean dataset

•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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Automatic COVID-19 prediction using explainable machine learning techniques

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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Diabetic retinopathy detection using principal component analysis multi-label feature extraction and classification

•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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Research on mixed decision implications based on formal concept analysis

•The difference between mixed decision context and decision context, and the properties of mixed decision context are also discussed.•A complete semantical system of mixed decision implication is proposed...

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Granular-based state estimation for nonlinear fractional control systems and its circuit cognitive application

•Novel impulsive observer algorithm is designed to ensure the cognitive convergence of error dynamic systems.•Resulting criterion reflects well the relationship between the fractional order and the...

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A novel coal-rock cutting state identification model based on the Internet of Things

•A coal-rock cutting numerical simulation approach is applied for realizing the acquisition of various heterogeneous data.•Three time-domain parameters are selected as the characteristic vector that...

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ARTIFICIAL INTELLIGENCE-ENABLED KNOWLEDGE MANAGEMENT USING A MULTIDIMENSIONAL ANALYTICAL FRAMEWORK OF VISUALIZATIONS

To better manage human resources (HR), companies are increasingly incorporating artificial intelligence (AI) and other AI-based tools into their HR management (HRM) strategies, at a universal scale....

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Ontology-based video retrieval using modified classification technique by learning in smart surveillance applications

•We propose a modified R-Ratio with Viola–Jones Classification Method (MRVJCM) for automatic recognition of image queries.•The proposed techniques and their relevant algorithms are used to retrieve...

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Mining user's navigation structure by filtering impurity nodes for generating relevant predictions

•We address the problem of noisy navigations in web navigation prediction models and proposed four pruning models, Gini-Index based Modified Markov Model (GIM3), Entropy based Modified Markov Model...

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