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ITM Web of Conferences
ISSN 2271-2097 · EDP Sciences · 4.152 artikel di indeks
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Artikel Jurnal Teks lengkap
An AI-driven framework for predicting sleep quality and delivering personalized recommendations using digital wellbeing and lifestyle data
Sleep is essential for maintaining mental clarity, emotional stability, and physical health, as supported by extensive research in sleep science. However, modern lifestyles characterized by excessive screen exposure, irregular routines, and heightened stress levels have led to a noticeable decline…
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A Comprehensive Survey on Vitiligo Detection Using Deep Learning
Vitiligo is a skin condition that produces pale patches when pigment-producing cells are lost. Because visual diagnosis can vary between clinicians and take significant time, automated approaches for detecting and outlining lesions have become important. This survey reviews both public and private…
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MediSmart: An Integrated AI Framework for Hospital Management and Patient Safety
Hospitals manage an array of clinical activities, from assessing patient symptoms accu- rately to prescribing safe medications and managing clinical resources efficiently. Manually managing these activities in a hospital can cause delays in providing treatments, making medication errors, and not…
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Roomify: A Real-time Space Allocation System
Inefficient room management is a major concern for academic institutions, often resulting in inconsistent venue bookings. Issues such as double bookings, unrecorded cancellations, and underutilized spaces complicate campus operations. To address these challenges, this project presents 'Roomify', a…
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A Comprehensive Review of VertexML: A Model Training Platform
This paper presents a comprehensive survey of automated machine learning (AutoML) techniques, with a focus on meta-learning, hyperparameter optimization, and neural architecture search (NAS). Rather than proposing or evaluating a full AutoML platform, this work synthesizes insights from 49…
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Secure and Tamper-Proof Blockchain-Enabled Cybercrime Reporting and Evidence Management System
With cybercrime constantly increasing, a more legitimate and secure digital evidence collection filing tool with an audit trail and immutability is necessary. However, central reporting/evidence tools are still vulnerable to hacking, exclusionary to any accessibility controls, and devoid of Chain…
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Experience-Weighted Cognitive Complexity Metric for Software Understandability: A Cognitive-Informatics Perspective
Software systems are becoming increasingly complex as they evolve to meet the growing demands of modern industries. Traditional complexity metrics such as McCabe's Cyclomatic Complexity and Halstead's metrics fail to adequately capture the human cognitive dimension of software comprehension. This…
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An Iterative Review Inspired Adaptive Cyber Threat Detection Model with Context Awareness & Meta-Learning with Generative Hybrid Anomaly Detection
Al-driven cyber security frameworks must adapt to more sophisticated threats and context-based detections. We can improve interpretability, flexibility, and resilience in data-scarce and hostile settings in the current model. Challenges include model interpretation and explain ability, adaptability…
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AI-Powered Ancient Inscription Analysis and Translation (Halmidi)
Ancient inscriptions are vital primary sources for understanding linguistic evolution, socio-political structures, and cultural history. The Halegannada script, used in early Kannada inscriptions, presents significant challenges for computational analysis due to its complex orthography, weathered…
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Enhancing video face recognition through Illumination and pose compensation models
This work envisions a strong framework for improving video-based face recognition by addressing simultaneously the issues of pose and illumination changes. Since even exhaustive efforts in face recognition research have not eliminated the impact of dynamic environments in real-world applications on…
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PrepMind AI: A RAG Based Intelligent Learning Assistant for Competitive Exam Preparation
Competitive Examination such as UPSC and MPSC involves rapid and correct responses, yet majority of trainees rely on conventional learning or coaching schools which are more expensive. Learners with access to the current digital tools will risk the failure when answering handwritten questions, text…
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Comparative Study of Student Academic Outcomes and Behavioral Patterns through Data-Driven Approaches
Predicting student performance and understanding behavioral patterns have become central themes in modern educational research, particularly with the rise of digital and blended learning environments. The growing availability of data from Learning Management Systems (LMS) and online learning…
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Intelligent Traffic Signal Optimization for Automated Emergency Vehicles Using Machine Learning
Effective management of traffic for emergency vehicles continues to pose a significant challenge in contemporary urban environments. Delays in emergency responses can result in dire outcomes, such as loss of life and damage to property. Conventional traffic light systems function on predetermined…
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LandSure: Blockchain-based Property Verification and Tokenized Ownership Transfer System
There are still forged documents, no clear records of past history of ownership, and the absence of verification systems that cannot be tampered with which plague land verification and the property ownership transfer in India. The current literature shows that blockchain is used to register land in…
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Comparative Analysis of Facial Recognition Based Attendance System Using Machine Learning
Automated attendance systems benefit from robust, scalable facial recognition models capable of handling real-world classroom variability illumination, pose, and occlusion. This study conducts a systematic comparison of four pipelines ArcFace, SFace, GhostFaceNet, and Dlib using the DeepFace and…
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Grievance Redressal System: A Web-Based Public Grievance Portal
This study addresses the need for efficient, transparent, and citizen centric grievance handling in modern e governance. Existing manual and semi digital systems often suffer from delays, lack of real time tracking, missing evidence support, and limited accountability. A review of current…
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A Comprehensive Review of Machine Learning Techniques for Optimized Urban Water Systems (UWSs)
Urban Water Systems (UWSs) across the world are under mounting pressure as cities continue to expand, infrastructures age, and climate change introduces new levels of uncertainty into water availability and distribution. The traditional tools and hydraulic models that once guided urban water…
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IoT Based Sign Language Detection and Voice Conversion with Image Processing
The paper introduces an IoT-enabled system for real-time sign language recognition and voice conversion to improve communication for people with hearing or speech impairments. Using deep learning with TensorFlow, the model accurately detects hand gestures from American and Chinese Sign Language…
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Sustainable Wastewater Management: Learning from Vedic Practices and Modern Innovations
Awareness and practice of sustainable wastewater management is increasingly important owing to high population growth, high urbanisation and need to reclaim resources from the waste streams. These contemporary engineering techniques have opened up creative technologies for sewage treatment and even…
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Handwritten input to speech conversion using transfer learning
System developed to transform handwritten text into clear, natural sounding speech attained by using a structured multi-step process. The steps include image preprocessing,clean and enhanced output,elimination of noise and improvement of readability.The unrefined input text is refined using Natural…
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