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ISSN: 2666-3074

Enhancing personalized learning: AI-driven identification of learning styles and content modification strategies

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...

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Knowledge mapping analysis of situational awareness and aviation: A bibliometric study

•SA's growing relevance lacks thorough aviation review.•754 articles map SA in aviation, exploring the research landscape of SA in aviation.•Study yields SA framework aids new researchers to identify...

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GNN-RM: A trajectory completion algorithm based on graph neural networks and regeneration modules

•Introduced a feature extraction method for trajectory completion, capable of preserving adequate vehicle and environmental features with minimal data.•Employed a subgraph construction approach based...

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Integration of Artificial Intelligence and Wearable Internet 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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Trie-PMS8: A trie-tree based robust solution for planted motif search problem

•This paper explores the (l, d) motif search problem, also known as planted motif search (PMS), and discusses its challenging nature as an NP-hard problem.•PMS involves working with n strings and two...

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An effective object detection and tracking using automated image annotation with inception based faster R-CNN model

•An effective deep learning based object tracker using automated image annotation with inception v2 based faster RCNN (AIA-IFRCNN) model compared with automated image annotation with ResNet-101 based...

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A stacked ensemble approach to detect cyber attacks based on feature selection techniques

The exponential growth of data and increased reliance on interconnected systems have heightened the need for robust network security. Cyber-Attack Detection Systems (CADS) are essential for identifying...

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A decentralised federated learning scheme for heterogeneous devices in cognitive IoT

Cognitive Internet of Things (IoT) technologies typically rely on substantial data collected from edge devices for data analysis and decision-making. However this reliance often leads to the inadvertent...

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Optimized charging-station placement and UAV trajectory for enhanced uncertain target detection in intelligent UAV tracking systems

Unmanned Aerial Vehicle (UAV) technology is proposed to improve social safety, provide specialized services, and improve overall well-being in crowded indoor spaces. The deployment of drones in indoor...

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A novel medical steganography technique based on Adversarial Neural Cryptography and digital signature using least significant bit replacement

With recent advances in technology protecting sensitive healthcare data is challenging. Particularly, one of the most serious issues with medical information security is protecting of medical content,...

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Advancing real-time fuel classification with novel multi-scale and multi-level MHOG and light gradient boosting machine

Accurately classifying petrol and diesel fuel using an image processing method is crucial for fuel-related industries such as petrol pumps, refineries, and fuel storage facilities. However, distinguishing...

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End-to-end solution for automatic beverage stock detection in supermarkets based on image processing and convolutional neural networks

•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...

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Multi-objective Harris Hawks optimization algorithm for selecting best location and size of distributed generation in radial distribution system

•Harris Hawks optimization (HHO) technique is chosen because of its gradient-free and population-based optimization algorithm.•This algorithm is inspired by the supportive actions of very intelligent...

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NeuroRF FarmSense: IoT-fueled precision agriculture transformed for superior crop care

In light of the ongoing global hunger crisis, it is imperative to improve food production in accordance with Sustainable Development Goal 2.0, which aims to eliminate hunger while promoting sustainable...

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A multi-fused convolutional neural network model for fruit image classification

Fruit categorization presents a significant challenge due to the diverse range of fruit types and their similarities in color, shape, size, and structure. This challenge is addressed in this research...

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Identification of continuous-time Hammerstein model using improved Archimedes optimization algorithm

•An improved Archimedes optimization algorithm (IAOA) is proposed.•IAOA excels in handling imbalanced exploration and exploitation, and local optima issues.•IAOA is applied for identification of continuous-time...

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Gorilla troops optimization with deep learning based crop recommendation and yield prediction

•This article introduces a Gorilla Troops Optimization with Deep Learning based Crop Recommendation and Yield Prediction model (GTODL-CRYPM).•The proposed GTODL-CRYPM model mainly focuses on two processes:...

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The Application of GCN Algorithm in Building Construction Knowledge Graph Updating under the Combination of Artificial Intelligence and Knowledge Management

•Deep Learning and Computer Vision Integration:Research combines deep learning and computer vision technology to improve knowledge graph updating in building construction applications.•Zero Sample Learning...

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Design of News Sentiment Classification and Recommendation System Based on Multi-model Fusion and Text Similarity

•The study proposes a sentiment classification method that combines multiple models and a recommendation algorithm based on text similarity calculation to enhance the performance of the news recommendation...

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Emotional Analysis of Broadcasting and Hosting Speech by Integrating Grid PSO-SVR and PAD Models

•Innovative Sentiment Analysis Model:The study introduces a novel broadcasting and hosting speech sentiment analysis model that integrates advanced optimization algorithms and emotion dimensions to...

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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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