- Design Method for Finite Control Set Model Predictive Controller of Bilinear Converters with Stability Guarantees
- Beyond Fear: Unleashing the Power of AI in Ethical and Psychological Growth
- Advanced Image Classification for Corn Leaf Disease Detection: A Deep Learning Approach
- Target Detection in Sea Clutter Based on Complex Empirical Mode Decomposition
- Chaotic Artificial Rabbit Optimization to optimize non linear distributed generation penetration considering harmonic distortion
- Explosion Risk Detection System
- Modeling and Adaptive Robust Control for an Electric Power Insurance Damage Claim Robot Joint Module
- YOLO-ASFF: A Model for Detecting Tomatoes of Different Maturities Based on Improved YOLO v5s
- Treatment of Class Imbalance Problem in Noisy Dataset using SMART-SMOTE
- Real-Time Simulation and Optimization of High-Voltage Cable Construction Process Using Digital Twin and Deep Reinforcement Learning
- Prediction of Lithium Battery SOC Based on Extended Kalman Filter Algorithm
- Segmentation Of Neutrophil Nucleus in White Blood Cell Images Using Kapur’s entropy based Improved Grey Wolf Optimization
- AI-Powered Monitoring for Mitigating Human-Animal Conflicts in Agricultural and Forest Zones
- A Novel Methodology to Predict Dental Cavities based on Intensive Deep Learning Strategy
- Leveraging AI for Translating English-Captioned YouTube Videos into Regional Languages
- Specific Emitter Identification of ADS-B Signal Based on Visual State Space Duality
- Image Steganography using LSB technique and VLSI implementation
- Advanced AI Framework for Fire and Smoke Detection Integrating YOLOv8 Object Detection and XGBoost Classification
- Visualizing Credit Default Risk: Insights Through Machine Learning
- The Impact of Metaphoric Text and Its Detection Process in Bangla Language for Enhanced NLP Performance
- Research on Lightning Trip Risk Assessment Method of Overhead Transmission Line Based on Multi-Dimensional Information Fusion
- Research on Optimized Operation of Regional Integrated Energy System Based on SAPSO Algorithm
- Multi-Label Image Recognition Algorithm Based on Convolutional Block Attention Module
- Target Motion Direction Recognition Based on RSSI Time Series
- A Review of Health State Estimation Algorithms for Retired Lithium-ion Batteries
- Impact of Residency Status on Academic Performance of Bangladeshi University Students Using Machine Learning and Explainable AI
- Anti-Remote Disk Imaging: A Comprehensive Approach to Prevent Unauthorized Data Access
- The Application of Social Media in College English Teaching: Data Analysis and Visualization Research
- Research on Zero-Sequence Transfer Suppression in Non-isolated Medium Voltage Flexible DC Interconnected System
- Adversarial Multi-Target Domain Adaptation with Multi-Scale Convolutional Neural Networks for Cross-Domain Fault Diagnosis
- Safety Vehicle Warning System Using the Internet of Things
- Design and Characterization of High-Performance Heterojunction Vertical TFET-Based Biosensors With Trench Gate Structure for Higher Sensitivity
- Design and Optimization of Dual-Source Vertical TFETs: Comparing Overlapped and Non-Overlapped Channel Architectures
- Simulation Study on Discharge Current Characteristics of Gapped Line Arresters
- Transmission Gate based Reordered Normal Basis Multiplier
- Research on Data Mining and Cost-Benefit Analysis for Large-Scale Distribution Network
- VSC-HVDC Adaptive Inertia Setting Method Considering Voltage Security
- Design of Dual Gate Mixer with Ambipolar Virtual Source Graphene Field Effect Transistor
- PPW-YOLO: An Improved PCB Defect Detection Model Based on yolo
- Ergonomically Optimized Wearable Seating Posture Monitoring and Alert System for Mitigating Work-Related Musculoskeletal Disorders
- Mining More Inter-Cluster Association Information to Improve Ensemble Clustering
- Research on the Optimal Wiring Method of Distribution Network Lines Adapting to Multi-Level Dynamic Networking of Microgrids
- 8-Bit Approximate Multiplier using Approximate Full Adder
- Optivue - A Smart Approach To Eye Health Screening
- Logistics Performance and Economic Growth in Developing Economies within the Framework of Industry 5.0
- Kate Towsey
- Use of ANNs for Optimizing the Design Parameters of GaN IMPATT Sources
- Research on Tor Over Socks5 Proxy Anonymous Communication Behavior Reconition
- Performance Evaluation and Applications of Silicon-Based Dielectric Resonator Antennas for 70 GHz Wireless and Body-Centric Systems
- Advancing Rainfall Seasonality Detection via Bias Correction and Spatial Disaggregation (BCSD) with CHIRPS-v2 for Climate Modeling in Bangladesh
- A Majority Hard Voting Based Ensemble Approach to Predict Cardiovascular Disease
- Research on Inertia Estimation of New Energy Power System Based on Parameter Identification
- Computational Linear Modeling for Human Lung Mechanics
- Panoramic Video Stitching in Manufacturing Workshops Based on Key Target Protection
- Reduced Hardware Utilization with Enhanced Error Reduction for Arcsine/Arccosine Computation using CORDIC Algorithm through the Utilization of a Look-Up Table
- Leveraging Deep Learning for Cyberbullying Detection in Arabic Tweets
- Fault Section Location in Active Distribution Networks Based on Traveling Wave and Graph Convolutional Network
- Deep Learning-Based CNN Framework for Automated Mango Leaf Disease Detection and Classification
- Machine Learning Assisted Sensitivity of Triple-Material Gate -Stack Gate-All-Around (TM-GS-GAA) MOSFET based Biosensor
- An Enhanced Approach to Identify and Classify Heart Disease using Machine Learning Models
- Forecasting Literacy Development in Bangladesh: A Comparative Study of Machine Learning and Hybrid Approaches
- Deep Learning Approaches for Enhancing Image Classification Accuracy in Medical Imaging
- Enhancing User Interaction in Digital Financial Systems Using AI-Driven Front-End Technologies: A Personalised Response Approach
- XGBClassifier and Explainable AI for Disease Classification from Patient Symptom and Demographic Data with Late Fusion
- Multi-Resource and Multi-Objective Peak Shaving Optimization Dispatch of Large Power Grids Considering Efficient Utilization of Multiple Energy Storage and Demand Response
- Intent Classification in Chatbots with Human-AI Collaborated Large-Scale Dataset
- Reinforcement Learning-Based Intelligent Control Algorithm for Flexible DC Low-Voltage Stabilizers
- Impact Study of 220V Induced Voltage on Insulator Resistance Measurement
- Biometric Breakthroughs : Improving Service And Security With Fingerprint Recognition
- Development of an Intent-Based University Chatbot Using Supervised Learning and NLP Techniques
- A 2.5 W Class-F Power Amplifier using Balanced Stub Harmonics on 150 nm GaN HEMT device for 5G Applications
- Optimization of Energy Structure: The Role and Development Trend of Pumped Storage Power Stations in the Consumption of Renewable Energy
- Pipeline-Driven Handwritten Digit Recognition: A ZenML Framework Approach for Efficient Machine Learning Workflows
- Load Forecasting for Dhaka City Using RNN, LSTM, and GRU Architectures with Meteorological and Temporal Data
- Research on Pipeline Damage Identification Based on Optical Fiber Sensing and Deep Learning
- Hybrid Game-Theoretic Energy Sharing Strategy for Multi-Station Microgrids
- Advanced Offensive Language Detection with mT5 and User-Centric Features
- Effective Approaches of Deep Learning Models for Automated Fabric Defect Classification
- Evaluating Deep Learning Architectures for EEG-Based Driver Fatigue Detection: A Comparative Analysis
- Multi-Sensor Data Fusion Method for Smart Substations Based on Hierarchical Attention Network and Transfer Learning
- Performance enhancement of surface plasmon resonance-based sensor through platinum diselenide for glucose sensing
- Predicting Execution Time for Move Method Refactoring Base on Deep Learning
- Edge-Optimized Defect Detection for Substation Insulators
- Empowering Developing Nations: Sustainable Launch Approaches and Emerging Technologies for Small Satellites
- Region Proposal Exploration for Extending Perspective Detection to Panoramic Detection
- Research on the Improvement of Cartographer Mapping Algorithm for Mobile Robots
- LitRank: An Interactive Tool for Ranking and Field Inference in Literary Data
- Research on Collaborative Reconnaissance Mission Planning Algorithms for Multiple Unmanned Aerial Vehicles
- Research on the Impact of Distribution Network Loop Closing Operation Based on the Random Forest Algorithm
- The Thermal Simulation Analysis of Air Cooling Performance of 18650-Type Lithium-Ion Batteries
- Exploring Mental Well-Being Based on Daily Routine Patterns and on the Impact of Sleep Quality
- A Survey of Physical Adversarial Attacks Against Infrared Target Detection
- Machine learning prediction of marginal gingival adaptation of direct composite veneering with or without mock-up in Upper anterior
- Optimisation of PV PEM Power for Hydrogen Production based on Multi-Strategy Cuckoo Algorithm
- Research on Power Prediction of Distributed Photovoltaic Power Stations Based on TCN-GCN
- Efficient Distributed PV Power Prediction via Blockchain-Driven Personalized Federated Learning
- Utility Distribution and Power Transformer Planning Practices Surveys and Proposed Planning Guidance Considering Future EV Adoptions
- Bangla Book Genre Classification: An Advanced Multi-Class Approach Using Transformer-Based Models
- Research on Reactive Voltage Optimization in Distribution Networks Using Graph Neural Network-Based Reinforcement Learning
- Personalized Cancer Drug Recommendation using GAN and Explainable AI