the proceedings contain 51 papers. the special focus in this conference is on Advances in information Communication technology and computing. the topics include: Internet of things and Retail Performance in an Emergin...
ISBN:
(纸本)9789811998874
the proceedings contain 51 papers. the special focus in this conference is on Advances in information Communication technology and computing. the topics include: Internet of things and Retail Performance in an Emerging Market: A Qualitative Analysis;the Impact of Social Media on Consumer Purchase Behaviour;the Contribution of the Internet of things to Enhance the Brands of Small and Medium-Sized Enterprises in Iraq;trust Chain for Managing Trust in Blockchain-Associated IoT-Enabled Supply-Chains;supply Chain Management Using Blockchain Security Enhancement;a Novel Image Encryption Algorithm Using Logistic and Henon Map;an Analysis of Data Sparsity Resolution Algorithms Used in Recommender Systems;recent Trends for Practicing Machine Learning in Brain Tumors: A Survey;voice-Based Intelligent Virtual Assistant;the Impact of IT Capabilities on Competitive Advantage;Identification of Autism Spectrum Disorder from Functional MRI Using Deep Learning;conversion of Sign Language to Text and Audio Using Deep Learning Techniques;security Attacks and Key Challenges in Blockchain technology: A Survey;advancing from Manual to Automatic Telecast of News for Deaf;study of Nutrition-Based Recommender System for Diabetes and Cardiovascular Patients Based on Various Machine Learning Techniques: A Systematic Review;comparing Fish Finding Techniques using Satellite and Indigenous Data based on Different Machine Learning Algorithms;implementation of E-Governance Framework for Rural Areas of India;opinion Summarization from Online Mobile Phone Reviews Using Feature Based Association Rule Mining;unconventional to Automated Attendance Marking Using Image Processing;synthetic Animations Based Dictionary for Indian Sign Language;start of Telemedicine in Uzbekistan. Technological Availability;review of Feature Extraction Techniques for Fake News Detection.
the proceedings contain 80 papers. the topics discussed include: back-imaging scheme in RF-powered passive camera system;proactive attack detection at the edge through an ensemble deep learning model;a secure federate...
ISBN:
(纸本)9781665466677
the proceedings contain 80 papers. the topics discussed include: back-imaging scheme in RF-powered passive camera system;proactive attack detection at the edge through an ensemble deep learning model;a secure federated learning mechanism for data privacy protection;OFDM signal design based on electrode-based through-the-earth communication;spiking mean field multi-agent reinforcement learning for dynamic resources allocation in D2D networks;joint optimization of latency and reward for offloading dependent tasks in mobile edge computing;energy-efficient power control and resource allocation based on deep reinforcement learning for d2d communications in cellular networks;a fuzzy Bayesian network based on fault tree for vaccine safety risks analysis;a reinforcement learning-based task classification mechanism for privacy-enhanced mobile crowdsensing strategy;a mobile crowd sensing ecosystem based on fog computing infrastructure;preserving privacy for edge weights in communication networks;and design and implementation of anti-wireless electricity rubbing system.
Self-supervised learning has proven highly effective across various tasks, showcasing its versatility in different applications. Despite these achievements, the challenges inherent in multi-label classification have s...
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ISBN:
(纸本)9798400706028
Self-supervised learning has proven highly effective across various tasks, showcasing its versatility in different applications. Despite these achievements, the challenges inherent in multi-label classification have seen limited attention. this paper introduces GAELLE, a novel self-supervised multi-label classification framework that simultaneously captures image context and object information. GAELLE employs a combination of global context and local attention mechanisms to discern diverse levels of semantic information in images. the global component comprehensively learns image content while local attention eliminates object-irrelevant nuances by aligning embeddings with a projection head. the integration of global and local features in GAELLE effectively captures intricate object-scene relationships. To further enhance this capability, we introduce a global and local swap prediction technique, facilitating the nuanced interplay between various objects and scenes within images. Experimental results showcase GAELLE's state-of-the-art performance in self-supervised multi-label classification tasks, highlighting its effectiveness in uncovering complex relationships between multiple objects and scenes in images.
the drug supply chain involves several parties with different roles. Several global pharmaceutical companies, such as drug manufacturers, sell and distribute their products to hospitals and drug distributors in severa...
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Withthe development of energy Internet, the privacy protection of energy data has become an important issue. In this paper a multi-party privacy query scheme for energy data based on privacy information retrieval (PI...
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this research introduces a QoS model for fundamental grid railway information services and a QoS model for composite grid railway information services to assess the efficacy of the railway information service composit...
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Design and implementation of a power tax data query tool based on Private information Retrieval (PIR) technology is presented in this paper, aimed at enabling power companies to securely obtain tax data without reveal...
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Aiming at the problem that many parameters affecting each other in the process of aluminum electrolysis make it difficult to improve the current efficiency and unable to reach the expected production index, the multi-...
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Withthe rapid growth of available data, the continuous improvement of computing power, and the increasing maturity of large model technology, AI Agents based on large models are gradually becoming the core of AI rese...
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the extraction of multi-scale features from input images is crucial for computer vision tasks. However, some backbone networks based on visual transformers lack the ability to effectively extract multi-scale features ...
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