In an era dominated by the ubiquity of digital communication, Reach emerges as a pioneering mobile-first chat application, engineered to facilitate seamless in-person messaging and empower users for real-time connecti...
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The new digital platform called the House Rental Management System is revolutionizing the management of rental properties. It provides a quick and convenient alternative for landlords and tenants to manage a variety o...
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作者：
Chandankhede, ArpitGourshettiwar, Palash
Faculty of Engineering and Technology Department of Artificial Intelligence and Data Science Sawangi Meghe Maharashtra Wardha442001 India
Faculty of Engineering and Technology Department of Computer Science and Engineering Sawangi Meghe Maharashtra Wardha442001 India
Supply Chain Management (SCM) worldwide makes major advancements through the Internet of Things (IoT) by enabling real-time monitoring and prediction analytics and automatic decision capabilities in worldwide deliver ...
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To train sentiment classifiers, a collective multi-Trends sentiment classification approach is proposed for numerous tweets simultaneously. This technique uses sentiment facts from exceptional tweets to train accurate...
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In the contemporary educational landscape, college placement plays a pivotal role in the transition of students from academia to the professional world. However, this phase is often plagued by challenges such as ineff...
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Conventional flood forecasting methods can be roughly classified as physics-based models and data-oriented models, which both require parameter optimization. In parameter optimization, a search is generally done to mi...
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This paper addresses the critical challenge of privacy in Online Social Networks(OSNs),where centralized designs compromise user *** propose a novel privacy-preservation framework that integrates blockchain technology...
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This paper addresses the critical challenge of privacy in Online Social Networks(OSNs),where centralized designs compromise user *** propose a novel privacy-preservation framework that integrates blockchain technology with deep learning to overcome these *** methodology employs a two-tier architecture:the first tier uses an elitism-enhanced Particle Swarm Optimization and Gravitational Search Algorithm(ePSOGSA)for optimizing feature selection,while the second tier employs an enhanced Non-symmetric Deep Autoencoder(e-NDAE)for anomaly ***,a blockchain network secures users’data via smart contracts,ensuring robust data *** tested on the NSL-KDD dataset,our framework achieves 98.79%accuracy,a 10%false alarm rate,and a 98.99%detection rate,surpassing existing *** integration of blockchain and deep learning not only enhances privacy protection in OSNs but also offers a scalable model for other applications requiring robust security measures.
Skin conditions are common everywhere, and early and precise diagnosis is essential for successful treatment. This work gives a thorough investigation of the use of Python programming and machine learning techniques f...
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The proposed research work suggests a combined technique based on decision trees and cloud computing for predicting cognitive decline in Alzheimer's patients. Medical records and data from wearable devices are amo...
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This case study uses the Karate Framework to reduce the time and resources required for testing an application programming interface (API) for an Online Assessment Web Application, which is part of a continuous develo...
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