Liebe Besucherinnen und Besucher,

aufgrund unseres Sommerfestes sind wir am 03. September 2026 bis 14 Uhr erreichbar. Am 04. September 2026 sind wir wieder wie gewohnt für Sie da. Vielen Dank für Ihr Verständnis.

Ihr Team von Sack Fachmedien

Hegadi / Abou el Kalam / Santosh | Recent Trends in Image Processing and Pattern Recognition | Buch | 978-3-032-39076-9 | www.sack.de

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

Hegadi / Abou el Kalam / Santosh

Recent Trends in Image Processing and Pattern Recognition

8th International Conference, RTIP2R 2025, Marrakech, Morocco, December 11–13, 2025, Proceedings, Part I
Erscheinungsjahr 2026
ISBN: 978-3-032-39076-9
Verlag: Springer

8th International Conference, RTIP2R 2025, Marrakech, Morocco, December 11–13, 2025, Proceedings, Part I

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

ISBN: 978-3-032-39076-9
Verlag: Springer


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 

Hegadi / Abou el Kalam / Santosh Recent Trends in Image Processing and Pattern Recognition jetzt bestellen!

Zielgruppe


Research

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.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.