Buch, Englisch, 432 Seiten, Format (B × H): 155 mm x 235 mm
8th International Conference, RTIP2R 2025, Marrakech, Morocco, December 11-13, 2025, Proceedings, Part I
Buch, Englisch, 432 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Communications in Computer and Information Science
ISBN: 978-3-032-39076-9
Verlag: Springer Nature Switzerland AG
This two-volume set CCIS 2986-2987 constitutes the refereed proceedings of the 8th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2025, held in Marrakech, Morocco, during December 11-13, 2025.
The 65 full papers and 10 short papers included in these volumes were carefully reviewed and selected from 181 submissions. They are organized into the following topical sections:
Part I: AI for Healthcare; Artificial Intelligence; Data analytics; Document analysis.
Part II: Healthcare
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
.- 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.
