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ISSN: 2666-3074

Empirical research on the evolution trend of heat and sentiment for emergencies

Emergencies inflict heavy casualties, economic losses, ecological damage, and significant social harm to society. By segmenting information topics and analysing emotional shifts, we can identify corresponding...

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AI-based model for securing cognitive IoT devices in advance communication systems

The pervasive integration of the Cognitive Internet of Things (CIoT) in advanced communication systems has significantly heightened security concerns due to inherent vulnerabilities that cyber attackers...

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Smart real-time detection of risky roads using vehicles trajectories for intelligent transportation

Indeed, risky roads have a negative impact on traffic by causing road injuries with fatalities, which can lead to negative emotional, social, and economic influences on humans, countries, and the world....

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Application of the vision-based deep learning technique for waste classification using the robotic manipulation system

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...

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Cognitive AI and implicit pseudo-spline wavelets for enhanced seismic prediction

Using data from 1900 to 2024, this study developed an innovative artificial intelligence (AI)-powered framework for predicting earthquakes in Japan. By incorporating state-of-the-art cognitive computing...

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Examining finite-time behaviors in the fractional Gray–Scott model: Stability, synchronization, and simulation analysis

This paper investigates the behavior and stability of the fractional-order Gray–Scott model, with a specific focus on achieving finite-time stability and synchronization. It introduces essential concepts,...

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Optimal path planning based on ACO in intelligent transportation

•Proposal for algorithm integrating reward and punishment strategies with genetic ant colony for optimal path planning in intelligent transportation.•Integration of genetic algorithm and ant colony...

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Enhancing agricultural research with an Attention-Based Hybrid Model for precise classification of rice varieties

As a staple food feeding over half of the world’s population, rice needs well defined classification techniques to improve agricultural yields, the supply chain, and food safety. To meet these needs,...

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Artificial intelligence-inspired comprehensive framework for desertification prediction

Desertification greatly affects land deterioration, farming efficiency, economic growth, and health, especially in Gulf nations. Climate change has worsened desertification, making developmental issues...

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Adaptive traffic prediction model using Graph Neural Networks optimized by reinforcement learning

Traffic prediction is critical for urban planning and transportation management, with significant implications for congestion reduction, resource allocation, and sustainability. Traditional statistical...

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A network differentiation service method using DA-VNE algorithm

•Novel virtual network mapping algorithm enhances latency performance significantly.•Intelligent traffic classification system outperforms traditional methods by a large margin.•Achieved remarkable...

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Exploring insights on deep learning-based photovoltaic fault detection for monofacial and bifacial modules using thermography

Routine maintenance of photovoltaic (PV) power plants is critical to mitigate module faults, which can result from environmental factors, reducing power output and accelerating module degradation. To...

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Enhancing elderly care services through integrated sentiment analysis and knowledge reasoning: A deep learning approach

•Enhanced Emotion Recognition in Elderly Care: The study presents a comprehensive care model for elderly care service robots that integrates sentiment analysis and knowledge reasoning, achieving an...

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Development of an Efficient Method for Object Detection and Localization in 3D Space Using RGBD Cameras for Autonomous Systems

The work presents an efficient algorithm for object detection, orientation estimation, and isometric positioning in 3D space using RGBD camera data. The goal of the study is to improve the accuracy...

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Normalized SPSA for Hammerstein Model Identification of Twin Rotor and Electro-Mechanical Positioning Systems

A wide range of optimization methodologies have been introduced for identifying Hammerstein model systems, but existing approaches often face challenges such as convergence instability, computational...

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Dynamic Agricultural Pest Classification Using Enhanced SAO-CNN and Swarm Intelligence Optimization for UAVs

•Innovative model design: An enhanced SAO - CNN model integrating adaptive convolution, self - supervised learning, ConvLSTM, and bio - inspired algorithms is proposed. It improves recognition accuracy...

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Novel Darknet traffic data synthesis using Generative Adversarial Networks enhanced with oscillatory Growing Cosine Unit activated convolution layers

•Created a Generative Adversarial network which generates training and testing data for Darknet traffic which is otherwise very difficult to capture.•Enhanced the performance of the GAN by using an...

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Analyze the impact of feature selection techniques in the early prediction of CKD

•Early prediction of CKD is a challenging task.•Machine Learning (ML) Techniques play a significant role.•Optimal feature selection by EFS.•Importance of feature selection in CKD analysis....

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DDSS: Driver decision support system based on the driver behaviour prediction to avoid accidents in intelligent transport system

•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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From predictive analytics to emotional recognition–The evolving landscape of cognitive computing in animal welfare

•Cognitive computing reshapes agriculture & livestock.•Cognitive systems mimic human thought, impacting farming.•Computing detects animal behavior nuances for well-being.•Ethical use of computing is...

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Deep learning-based approaches for abusive content detection and classification for multi-class online user-generated data

•an abusive language detection model that perform multiclass classification of offensive language.•experimented with five deep learning models: Bi-LSTM, LSTM, Bi-GRU, GRU, and multi-dense LSTM.•dataset...

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Multi-Agent cubature Kalman optimizer: A novel metaheuristic algorithm for solving numerical optimization problems

•Develop a novel meta-heuristics optimization algorithm inspired by cubature Kalman filter.•Test the MACKO algorithm against CEC2014 test suite with 30 benchmark functions.•Compare the MACKO algorithm...

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Handwritten alphabet classification in Tamil language using convolution neural network

Handwritten Alphabet Recognition can be defined as the way of detecting characters from images of Handwritten language alphabets. This is one of the important problems that can be solved by Convolution...

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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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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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