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78 articles for “heterogeneous computing”
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Advances in Biological Systems Modeling for Predicting Drug Effects in Chronic Disease
Abstract: Biological systems modeling has emerged as a promising tool for understanding and predicting the effects of drugs in the treatment of chronic diseases. Chronic diseases, such as diabetes, cardiovascular diseases, and neurodegenerative disorders pose significant challenges to traditional drug development due to their complex, multifactorial nature. Systems biology approaches, which integrate computational modeling with experimental data, provide a holistic view of disease mechanisms and treatment responses. This review explores recent …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 17–22 Read article
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Data Mining Methods for Large Data
Abstract: High dimensional data classification becomes a challenging task because data are large, complex to handle, heterogeneous and hierarchical. In order to reduce the data set without affecting the classifier accuracy, the feature selection plays a vital role in large datasets and which increases the efficiency of classification to choose the important features for high dimensional classification, when those features are irrelevant or correlated. Therefore feature selection is considered to be …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 30s–35s Read article
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Approximation-Aware Computation for Graceful QoS Degradation in Modern Multiprocessor Operating Systems
Abstract: Modern multiprocessor operating systems face unprecedented challenges in maintaining Quality of Service (QoS) guarantees under dynamic workload conditions and resource constraints. Traditional approaches to resource management often result in abrupt service degradation or complete task failure when system resources become scarce. This study presents a comprehensive framework for approximation-aware computation that enables graceful QoS degradation in multiprocessor environments. We explore the integration of approximate computing paradigms with operating system schedulers, …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 3, 2025 · pp. 08–15 Read article
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Data Mining Methods for Large Data
Abstract: AbstractHigh dimensional data order ends up plainly difficult assignment since information are substantial, complex to deal with, heterogeneous and progressive. Keeping in mind the end goal to lessen the informational index without influencing the classifier precision. The element determination assumes a fundamental part in huge datasets and which expands the proficiency of arrangement to pick the vital highlights for high dimensional grouping, when those highlights are superfluous or corresponded. Along …
Published in Recent Trends in Programming languages · Vol. 4, Issue 3, 2017 · pp. 1–6 Read article
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MANET Communication in Embedded Devices through Adjoined Heterogeneous Protocols for Defence Application
Abstract: In this paper, we present a packet management technique for establishing communication by conjoining heterogeneous protocols in MANET that are implemented using Scilab tool in several embedded devices. The module presented here for packet management functions is NARVAL in Scilab. As any network has loads of packets, packet management techniques are necessary for handling the packets in the flow, at the source and also at the destination. The outcome of …
Published in Journal of Microcontroller Engineering and Applications · Vol. 4, Issue 2, 2017 · pp. 1–6 Read article
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Integration of a Population Balance Model into Bubble Column: CFD Approach
Abstract: A computational fluid dynamics (CFD)-code ANSYS FLUENT 15.0 has been implemented using finite volume method in eulerian framework for the simulation of axisymmetric transient flow in bubble column. The population balance has been included to solve for the bubble flow and size distribution for the population of six different bubble sizes in the CFD code. A fixed pivot method of Ramakrishna [ANSYS FLUENT 15.0] has been used to discretize the …
Published in Recent Trends in Fluid Mechanics · Vol. 3, Issue 1, 2016 · pp. 1–8 Read article
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Comparative Efficacy and Safety of Safinamide and Rasagiline in the Treatment of Parkinson’s Disease: A Meta-Analysis and Systematic Review
Abstract: Background: Recent studies have suggested Rasagiline and Safinamide monotherapy as potential management options for Parkinson’s disease. Parkinson’s disease, a neurological disorder characterized by tremors and movement difficulties, necessitates treatments aimed at managing clinical symptoms. Levodopa remains the primary effective treatment for Parkinson’s disease symptoms; however, its long-term use often leads to motor complications in many patients. Additional therapeutic drugs, such as dopamine agonists and monoamine oxidase B inhibitors, including Safinamide …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 74–91 Read article
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Securing the Internet of Things: Challenges and Solutions in the Era of IIoT
Abstract: The manufacturing, healthcare, and transportation sectors have undergone revolutionary changes due to the swift growth of the Internet of Things (IoT) and its industrial cousin, the Industrial Internet of Things (IoT). However, this technological advancement comes with significant security challenges. The heterogeneity of devices, ranging from simple sensors to complex machinery, creates a diverse attack surface. Additionally, many IoT devices lack robust security features, often due to cost constraints or …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 34–44 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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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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Comprehensive Analysis of Modern IoT Security Challenges and Solutions
Abstract: The Internet of Things (IoT) is rapidly transforming various industries by enhancing the human quality of life (QoL) through its wide-ranging applications. From healthcare to automotive, agriculture, education, and numerous other sectors, IoT has become essential for enabling smarter, more efficient systems. However, with its heterogeneous nature, IoT introduces a multitude of security challenges, as different IoT applications often function under varying frameworks and protocols. Consequently, addressing and studying IoT …
Published in Journal Of Network security · Vol. 12, Issue 3, 2024 · pp. 34–39 Read article
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Computing Appraisal of Trust Management Techniques in the Internet of Things
Abstract: Trust management is an alarming problem when it comes to interconnections and communication of objects online; Internet of Things (IoT). For ten years now, IoTs has become so popular because of its significance effect to human activities and its innovative services to many application domains. Nevertheless, IoTs is confronted with many security issues such as trust management. In spite of the huge jobs of trust the board methods in IoTs, …
Published in Journal of Communication Engineering & Systems · Vol. 11, Issue 2, 2021 · pp. 8–17 Read article
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Advancing Asthma Management: The Synergy of Systems Biology, Artificial Intelligence, and Next-Generation Therapeutics
Abstract: Asthma is an inflammatory disorder of the respiratory tract that is chronic and heterogeneous in nature and has various effects on millions of people. Being a chronic inflammatory disease, asthma remains incurable and the major conventional treatments offer limited success due to the mask nature of its pathophysiology. Systems biology/(AI), and next-generation has greatly enhanced knowledge and the management of asthma. The approaches based on gene, transcript, protein, and metabolite …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 1–12 Read article
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The Characteristics of Square-Well Fluid Transport Coefficients
Abstract: The transport coefficients of the hard-sphere system were first computed by Alder, providing foundational insight into the microscopic origins of viscosity, diffusion, and thermal conductivity in simple fluids. Building on this framework, Evans derived a generalized Langevin equation to describe the time evolution of dynamical variables, incorporating memory effects and non-Markovian behavior in molecular motion. These theoretical developments established a bridge between microscopic interactions and macroscopic transport properties. When an …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 3, 2025 · pp. 33–44 Read article
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Assessing the Effectiveness of Machine Learning Algorithms in Simulating Malware Detection Processes
Abstract: On the information system comprehends, computer virus attacks play a very important role and, by undermining regionally and globally, are considered one of the most critical threats. The traditional malware detection methods, more varied, being based on signature, are incapable of providing sufficient coverage over malicious programs in a short time. This is due to the speed of evolution and growing complexity of malware variants. This situation, in turn, requires …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 3, 2023 · pp. 11–20 Read article
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Uncharacteristic Behavior of User and its Impact on Social Networks
Abstract: Although there are still a lot of security and protection issues, the emotional rise in OSN use. Right now, propose a hazard evaluation dependent on the possibility that the more a client conduct separates from what it very well may be considered as a ‘typical conduct’, the more it ought to be viewed as unsafe. In doing this, we have considered that OSN populace is extremely heterogeneous in watched practices. …
Published in Recent Trends in Parallel Computing · Vol. 7, Issue 1, 2020 · pp. 24–29 Read article
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Enhancing Road Safety: A System for Vehicular Accident Detection, Prevention, and Rescue Alerts
Abstract: The Vehicular Accident Detection, Prevention, and Rescue Alert System is a comprehensive solution aimed at bolstering road safety by integrating multiple advanced technologies. It merges drowsiness detection, alcohol level monitoring, and instant emergency alerts to mitigate accidents and expedite rescue efforts. Modern computer vision and machine learning techniques are used by the Drowsiness Detection Alarm to track driver conduct and spot drowsiness indicators. Upon detecting drowsiness, an immediate alarm is …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 7–11 Read article
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Design of Core Based System-On-Chip Using Interfaced Cores and Routers in Network-On-Chip
Abstract: AbstractNetwork-On-Chip (NOC) architectures consist of heterogeneous cores connected through an interconnection network. The communication between the nodes is achieved by routing packets rather than wires. NOC has emerged as a new paradigm for designing core based System-on-Chip (SOC). Network-on-Chip is seen as a scalable solution facilitating the development of system-on-chip with an increasing number of IP cores. The idea of using on chip packet switched networks for interconnecting a large …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 4, Issue 3, 2017 · pp. 17–24 Read article