Recent Trends in Image Processing and Pattern Recognition

.- Section I - AI for Healthcare.

.- Leveraging Deep Learning Model for Advanced Anomaly Detection in Apple Harvests in India.

.- Vision-Based Obstacle Detection and Avoidance for Agricultural Drones Using YOLOv8.

.- Sugarcane Disease Detection Using Machine Learning.

.- 3D Reconstruction: Depth Estimation of the UAV Based Fruit Trees with 2D images.

.- Attention-Based Hybrid ViT-ResNet Model for Bangladeshi Mango Classification.

.- An integrated approach for recognition of plant leaf disease using CNN and SVM.

.- Explainable AI Driven Prediction for Betel Leaf Disease Classification using Grad-CAM.

.- Section II - Artificial Intelligence.

.- GenZ Phrase Translation using Multi-model Machine Learning Approach.

.- Transparency in Fabric Defect Detection by Leveraging Explainable AI in Deep Learning Models.

.- AI-Assisted Semi-Supervised Framework for Efficient Annotation of Suspicious Activities in Computer Lab CCTV Footage.

.- Design and Evaluation of a Multi-Agent RAG System for Automated Knowledge Extraction and Task Generation.

.- Analysis of smart traffic flow for autonomous vehicles.

.- Mono-Temporal Flood Damage Mapping with Spatial Buffering and CNNs.

.- Delving into Deep Learning: Unrevealing Academic Horizons through metric study.

.- Singularity in Neural Training.

.- A Smart Multi-Plant Disease Detection Utilizing AI through Website and WhatsApp Chatbot.

.- Deepsecure - A CNN and LSTM based approach for DeepFake Detection in Images.

.- Section III - Data analytics.

.- Efficient Segmentation and Analysis Automation of LiDAR Data.

.- Exploratory Analysis of Factors Influencing Cognitive Decline and the Classification of Diverse Health Domains Across Regional and Demographic Populations.

.- Prediction of Healthcare Facilities in India Across States/UTs Using Exploratory Data Analysis Concepts.

.- Deep Learning Based Multi-Class Human Fall Detection System using K-Fall dataset for Wearable Devices.

.- Benchmarking YOLOv11 and YOLOv12 for Peripheral Blood Cell Detection: Analysis of the impact of Model Scale and Dataset Quality.

.- Multimodal Suicide Risk Detection on Social Media Using Deep Learning and Transformer Architectures.

.- Machine Learning–Based Dengue Diagnosis Using Clinical and Routine Hematological Data Without Antigen Testing: Evidence from Bangladesh.

.- Section IV - Document analysis.

.- Enhancing Deaf Communication: Nepali Sign Language Recognition using YOLOv8 and NepaNe.

.- Low Resource Multimodal Translation of Nepali Spoken Words into Emotion-Conditioned Sign Language Avatars.

.- Text Extraction from Natural Scene Image using YOLO8.

.- A Hybrid Approach for Telugu Script Identification in Multilingual Digital Document Images.

.- A Code-mixed Hausa-English Parallel QA Corpus for Bilingual Question Answering: Design, Implementation, and Evaluation.

.- Bangladeshi License Plate Detection and Recognition Using YOLO Variants and Enhanced OCR with Model Interpretability.

.- Air-Written Digit Recognition with CNN(ResNet-18) and BiLSTM: A Spatio-Temporal Approach on ISI-Air Dataset.