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99 articles for “heterogeneous environment”
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Parallel Privacy-Preserving Adaptive Federated Learning on GPU-Enabled Multi-Core Architectures
Abstract: The increasing deployment of parallel and distributed intelligent systems has intensified the need for privacy-preserving learning frameworks that can exploit multi-core and graphics processing unit (GPU)-based architectures without centralizing sensitive data. This work proposes a parallel adaptive federated learning (AFL) framework that integrates differential privacy and secure aggregation over heterogeneous multi-core and GPU platforms to enhance both data confidentiality and convergence efficiency. The framework dynamically adjusts client participation, learning rates, …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 · pp. 09–16 Read article
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Modern Catalytic Systems: Mechanisms, Materials Engineering, and Sustainable Applications
Abstract: Catalysis is a fundamental pillar of modern chemical science and industrial manufacturing, enabling efficient production of fuels, chemicals, pharmaceuticals, polymers, and environmentally important products through the acceleration of chemical reactions and reduction of activation energy barriers. This review provides a comprehensive overview of contemporary catalytic systems, with emphasis on the relationship between catalyst structure, reaction mechanisms, catalytic performance, and long-term stability. The discussion begins with the classification of homogeneous, heterogeneous, …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 01–09 Read article
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Biocatalytic Process by Biodiesel Production to the help of Environment
Abstract: The synthesis of fatty acid esters using vegetable oils seems to be a crucial process that yields good diesel fuel substitutes and useful oleochemical intermediates. Biodiesel is made from fatty acid methyl esters, which are a mixture of mono-alkyl esters produced from vegetable oils including sunflower oil, soyabean oil, rapeseed oil, peanut oil, cotton seed oil, and animal fats like pig fats and lard. Biodiesel can also be made from …
Published in Journal of Catalyst & Catalysis · Vol. 8, Issue 3, 2021 · pp. 29–33 Read article
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Energy Aware Routing for Enhancing Network Lifetime in Wireless Sensor Networks: A Survey
Abstract: In the modern era of communication, Wireless Sensor Networks (WSNs) are one of the very important areas of research. WSNs find applications in many areas including military, healthcare, habitat monitoring and many more. A few applications of WSNs require the deployment of sensors in hostile environment. As recharging and replacing of batteries is not possible in such environments the communication has to be energy efficient. Routing is one of the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 2, 2020 · pp. 1–4 Read article
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Review on Azo-Compounds and Their Applications
Abstract: Azo-colored compounds that form the basic structure of many synthesized compounds in many fieldsof chemistry, especially coordination chemistry, as they contain a group (-N=N-). These dyes arewidely used as colorants, as they contribute to nearly 50% of artificial colors. Also in manyapplications such as ink-jet printing, optical imaging, and biomedical diagnostics , azo dye containsone or more D-π-A systems that can produce various colors by changing the electron donation (D) …
Published in Journal of Catalyst & Catalysis · Vol. 8, Issue 2, 2021 · pp. 8–16 Read article
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A Greedy Stochastic Diffusion Search Based Fuzzy Scheduling in Cloud
Abstract: Users in cloud environment pay per use for the resources utilized. Security issues direly affect the cloud services due to which the performance of the cloud systems also gets affected. Hence, for robust security in data and systems in cloud, the onus is largely on service providers. The most important component of cloud computing is job scheduling. For distributing precedence to subtasks that achieve varied makespan in heterogeneous computing system …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 58–68 Read article
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Entropy, Symmetry, and Data Fusion: Emerging Methods in Multi-Objective Decision- Making and Smart Systems
Abstract: In the era of intelligent technologies and data-driven systems, multi-objective decision-making (MODM) has become an essential aspect of managing complex environments such as smart cities, autonomous systems, and cyber-physical networks. As decision-making scenarios become increasingly dynamic and uncertain, there is a growing need for advanced methodologies that can handle diverse objectives, conflicting constraints, and incomplete information. This review highlights the emerging role of entropy, symmetry, and data fusion as foundational …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 44–49 Read article
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From Quantum Chemistry to Bioprocess Intensification: Advanced Computational Modeling and Enzyme-Based Catalytic Platforms for Green Chemical Transformations
Abstract: Green chemistry requires the development of sustainable catalytic systems that minimize waste generation, reduce energy consumption, and improve process efficiency. Computational chemistry and biocatalysis have emerged as complementary approaches for environmentally responsible chemical manufacturing. Computational techniques such as quantum chemistry, density functional theory (DFT), molecular dynamics, and machine learning provide mechanistic insights into catalytic reactions and support the rational design of efficient catalysts. These approaches enable the prediction of reaction …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 45–52 Read article
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Emerging Paradigms in Parallel Computing: Trends and Innovations
Abstract: Parallel computing is at an inflection point with revolutionary new paradigms and technologies. The goal of this paper is to survey the recent trend in parallel computing from architecture, programming model and applications. Mahajan cites a litany of architectural developments such as heterogeneous computing systems with integrated graphics processing unit/central processing unit ; the emerging promise from quantum and neuromorphic architectures (please see later); advances in packing transistors using novel …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 39–43 Read article
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Uncommon Occurrence of Gastric Adenocarcinoma Occurring in a Patient with Common Variable Immunodeficiency Syndrome
Abstract: Common variable immunodeficiency (CVID) belongs to the diagnostic category of primary immunodeficiency (PID). They are characterized by a heterogeneous group of disorders that include recurrent infections, autoimmunity, granulomatous diseases and malignancies. The incidence of malignancy in CVID patients is around 1.5–20.7% and usually occurs during the 4th–6th decade of life. Non-hodgkin lymphoma is the most frequent malignancy, followed by epithelial tumors of stomach, breast, bladder and cervix. Patients with CVID …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 7, Issue 1, 2018 · pp. 16–20 Read article
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A Review of Blocking Side-Channel Threats in Parallel Cloud Systems
Abstract: Side-channel attacks (SCAs) pose a critical security threat to parallel computing systems, particularly in shared cloud environments where multi-tenancy and resource contention create exploitable vulnerabilities. This study presents a comprehensive review of SCAs in parallel architectures, analyzing attack vectors such as cache-based exploits (e.g., Prime + Probe, Flush + Reload), timing attacks, power analysis, and network-based covert channels. We examine real-world cases including Spectre and Meltdown vulnerabilities that exposed fundamental …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 15–25 Read article
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Micro-Simulation Modelling of Vehicular Emission from Road Traffic of Mixed Flow Situation
Abstract: This paper describes a new approach to microscopic modelling of vehicular emission from road traffic of mixed flow situation, where traffic stream comprises both motorised and non-motorised vehicles. The proposed model can represent detailed mixed traffic situations, such as speed fluctuation of traffic flow, lack of lane discipline and different vehicle categories. The model library is also facilitated with purposely developed vehicular emission model in order to be able to …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 1, 2014 · pp. 46–55 Read article
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Activated Carbon Materials as Ideal Adsorbents for the Desulfurization of Fossil Fuels
Abstract: Removal of organosulfur compounds from diesel is of interest from scientific, social, economic, and environmental viewpoints. Production of clean fuel remains a primary goal of the petroleum refining industry. The reduction of sulfur content below stringent ppm levels in diesel fuels becomesincreasingly challenging due to the presence of sterically hindered sulfur compounds, such as 4,6- dialkyldibenzothiophenes, which are resistant to removal over conventional supported mixed sulfide hydrodesulfurization catalysts. Consequently, alternative …
Published in International Journal of Pollution: Prevention & Control · Vol. 4, Issue 1, 2026 · pp. 28–34 Read article
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Comparative Proteomics: From Cell Lines to Clinical Samples
Abstract: Comparative proteomics is a powerful tool for understanding the molecular differences between various biological samples. It entails identifying and measuring proteins in complex biological samples to assess their abundance, modifications, and interactions under various conditions. This approach plays a crucial role in advancing biomedical research, especially in disease understanding, biomarker discovery, and therapeutic development. While cell lines are widely used for proteomic studies due to their controlled environments and reproducibility, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 30–34 Read article
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Energy-Aware Task Offloading in 6G-Enabled Mobile Edge Computing Environments
Abstract: The emergence of sixth-generation (6G) wireless communication networks is expected to revolutionize future mobile systems by enabling ultra-low latency communication, extremely high data rates, massive connectivity, and intelligent network management. In parallel, mobile edge computing (MEC) has gained significant attention as a promising paradigm that brings computational resources closer to end users, thereby alleviating network congestion and reducing end-to-end service delays. Despite these advantages, the rapid growth of computation-intensive and …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 1, 2026 · pp. 14–19 Read article
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Systemic Lupus Erythematosus Revisited: A Milestones in Classification, Mechanistic Insights on Pathogenesis, Diagnosis, and Evolving Treatment Paradigms
Abstract: Systemic lupus erythematosus (SLE) is a prototypic, multi-systemic chronic inflammatory autoimmune disorder characterized by extreme clinical heterogeneity and the potential to involve virtually any organ or tissue. The condition is driven by a fundamental breakdown in immune tolerance, resulting in the overproduction of pathogenic autoantibodies and the formation of immune complexes that precipitate widespread inflammation and organ damage. This review aims to provide an exhaustive synthesis of recent developments in …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 3, 2026 Read article
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Hybrid Best-Response Algorithms for Mobile Computing Offloading: A Comprehensive Review
Abstract: The exponential growth of mobile applications with intensive computational requirements has necessitated innovative offloading strategies in mobile computing ecosystems. This comprehensive review examines hybrid best-response offloading algorithms integrated with game-theoretic optimization frameworks to address resource allocation challenges in mobile edge computing (MEC) environments. The proliferation of Internet of Things (IoT) devices and bandwidth-intensive applications has created unprecedented demands on mobile network infrastructure, compelling researchers to develop sophisticated offloading mechanisms that …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 20–26 Read article
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Utilization of Bentonite Clay Coupled with Potash for the Synthesis of Octadec-9-Enoic Acid Methyl Esters of Pongamia Pinnatatriglycerides
Abstract: Due to the ever increasing human population worldwide, especially in the developing countries across the world; renewable energy sources are in the primary focus of the scientists and researchers. In addition, the depletion of the reserves of the fossil fuels along with the increased consumption of the available reserves has led to wide spread global unrest. Complementing the above, there are significant environmental problems namely global warming due to increased …
Published in Journal of Polymer & Composites · Vol. 10, Issue 2, 2022 · pp. 72–78 Read article
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Optimization of Pesticide Requirement Calculations for IoT-Operated Hexacopter Delivery Systems
Abstract: The integration of Internet of Things (IoT) technology into precision agriculture has transformed pesticide application strategies, enabling resource-efficient and environmentally sustainable practices. This study presents a computational methodology for optimizing pesticide requirements in an IoT-operated hexacopter system, designed for dynamic, data-driven pesticide delivery. Leveraging a fusion of real-time telemetric data from onboard LiDAR, multispectral imaging sensors, and environmental monitoring modules, the system employs predictive analytics and edge computing to calculate …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 08–14 Read article
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Role of Organizational Culture in Mediating AI-Induced Social Alienation: A Meta-Analysis
Abstract: The fast adoption of artificial intelligence (AI) in the workplace has raised worries about its influence on employee well-being, particularly social alienation. Social alienation is characterised by feelings of detachment and estrangement at work. It can harm job satisfaction, staff engagement, and organisational performance. Existing literature suggests that organizational culture is crucial in shaping employee experiences with AI technologies. This meta-analysis investigates how organizational culture mediates the relationship between AI …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 28–33 Read article