23 hasil untuk "Syed Muhammad Mohsin"
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Artikel Jurnal Teks lengkap
Towards Energy Efficient Cloud: A Green and Intelligent Migration of Traditional Energy Sources
Geographically distributed cloud data centers (DCs) consume enormous amounts of energy to meet the ever-increasing processing and storage demands of users. The brown energy generated using fossil fuels is expensive and significantly contributes to global warming. Considering the environmental…
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A Fair Pricing Mechanism in Smart Grids for Low Energy Consumption Users
Based on energy demand, consumers can be broadly categorized into low energy consumers (LECs) and high energy consumers (HECs). HECs use heavy load appliances, e.g., electric heaters and air conditioners, and LECs do not use heavy load appliances. Thus, HECs demand more energy compared to LECs. The…
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Artikel Jurnal Teks lengkap
Predictive Data Analytics for Electricity Fraud Detection Using Tuned CNN Ensembler in Smart Grid
In the smart grid (SG), user consumption data are increasing very rapidly. Some users consume electricity legally, while others steal it. Electricity theft causes significant damage to power grids, affects power supply efficiency, and reduces utility revenues. This study helps utilities reduce the…
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Deep Learning-Based Motion Style Transfer Tools, Techniques and Future Challenges
In the fourth industrial revolution, the scale of execution for interactive applications increased substantially. These interactive and animated applications are human-centric, and the representation of human motion is unavoidable, making the representation of human motions ubiquitous. Animators…
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TRACE: Intervention-aware temporal representation learning for video understanding
Learning generalizable video representations from unlabeled data remains a fundamental challenge in computer vision, as existing self-supervised learning approaches primarily rely on modeling statistical correlations rather than capturing structured temporal dependencies in video data. While recent…
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Optimizing solar irradiance forecasting: ANN models enhanced with ADAM and Cuckoo search algorithm
Renewable energy sources (RES) are being used and integrated into the electrical grid as a result of the environment’s effects and the ever-increasing demand for energy. Reliable and accurate forecasts are necessary to address environmental concerns and improve grid management due to the…
Juga tersedia di: DOAJ
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CLS-3D: Content-Wise LiDAR-Camera Fusion and Slot Reweighting Transformer for 3D Object Detection in Autonomous Vehicles
Accurate 3D object detection is vital in autonomous driving. Single-modal detectors, using either camera or LiDAR, struggle with issues like limited depth perception or difficulty in distinguishing semantically similar objects. While multimodal approaches aim to address these limitations by…
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A Comprehensive Review of Computing Paradigms, Enabling Computation Offloading and Task Execution in Vehicular Networks
Road safety, optimized traffic management, and passenger comfort have always been the primary goals of the vehicle networking research community. Advances in computer and communication technologies have made the dream of modern intelligent vehicles a reality through the use of smart sensors…
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Performance Analysis of Hybridization of Heuristic Techniques for Residential Load Scheduling
With the emergence of the smart grid, both consumers and electricity providing companies can benefit from real-time interaction and pricing methods. In this work, a smart power system is considered, where consumers share a common energy source. Each consumer is equipped with a home energy…
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Comparative Evaluation of Chemically and Green-Synthesized Silica-Modified CeO₂ Nanostructures for Time-Dependent Room-Temperature Ammonia Sensing
Silica nanoparticles were synthesized via two distinct routes – a conventional chemical process and a sustainable green approach using sugarcane bagasse – and incorporated into cerium oxide (CeO₂) nanostructures for comparative evaluation as room-temperature ammonia (NH₃) gas sensors. The chemical…
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Revolutionizing SIEM Security: An Innovative Correlation Engine Design for Multi-Layered Attack Detection
Advances in connectivity, communication, computation, and algorithms are driving a revolution that will bring economic and social benefits through smart technologies of the Industry 4.0 era. At the same time, attackers are targeting this expanded cyberspace to exploit it. Therefore, many…
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A Lightweight Post-Quantum Lattice-Based RSA for Secure Communications
Conventional RSA algorithm, being a basis for several proposed cryptosystems, has remarkable security laps with respect to confidentiality and integrity over the internet which can be compromised by state-of-the-art attacks, especially, for different types of data generation, transmission, and…
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Noise Free Fully Homomorphic Encryption Scheme Over Non-Associative Algebra
Among several approaches to privacy-preserving cryptographic schemes, we have concentrated on noise-free homomorphic encryption. It is a symmetric key encryption that supports homomorphic operations on encrypted data. We present a fully homomorphic encryption (FHE) scheme based on sedenion algebra…
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An Enhanced Virtual Cord Protocol Based Multi-Casting Strategy for the Effective and Efficient Management of Mobile Ad Hoc Networks
To solve problems with limited resources such as power, storage, bandwidth, and connectivity, efficient and effective data management solutions are needed. It is believed that the most successful algorithms for circumventing these constraints are those that self-organise and collaborate. To make…
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An Efficient Healthcare Data Mining Approach Using Apriori Algorithm: A Case Study of Eye Disorders in Young Adults
In the public health sector and the field of medicine, the popularity of data mining and its usage in knowledge discovery and databases (KDD) are rising. The growing popularity of data mining has discovered innovative healthcare links to support decision making. For this reason, there is a great…
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Artikel Jurnal Teks lengkap
Effective and Efficient DDoS Attack Detection Using Deep Learning Algorithm, Multi-Layer Perceptron
Distributed denial of service (DDoS) attacks pose an increasing threat to businesses and government agencies. They harm internet businesses, limit access to information and services, and damage corporate brands. Attackers use application layer DDoS attacks that are not easily detectable because of…
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Computationally efficient GPU based NS solver for two dimensional high-speed inviscid and viscous compressible flows
In this study, we proposed a novel GPU-based solution for modelling two-dimensional inviscid and viscous compressible supersonic/hypersonic flows. Texture and surface pointers are used to access GPU memory locations. For effective and efficient use of surface pointers, we grouped multiple 2D arrays…
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Analysis of Feature Selection Methods in Software Defect Prediction Models
Improving software quality by proactively detecting potential defects during development is a major goal of software engineering. Software defect prediction plays a central role in achieving this goal. The power of data analytics and machine learning allows us to focus our efforts where they are…