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1991 articles for “compute” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Comparative Analysis of AI-Based Approach vs. Traditional Methods in Climate Modeling
Abstract: Climate modeling helps to predict the future of climate variations and human interference with environment. The traditional General Circulation Models (GCMs) are based on physics-derived mathematical equations but are very expensive in terms of computation. There are alternative ways to perform climate modeling in recent years with the rise and improvement of Artificial Intelligence (AI) based approaches in term of predictability, efficiency, and classification of extreme events compared to conventional. …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 26–32 Read article
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A High Frequency and Power Efficient Memristor Emulator and Its Application
Abstract: This study presents a small, energy-efficient memristor emulator made for use at high frequencies. The proposed circuit has a simple design that only includes three n-type MOSFETs and a grounded capacitor. This means that there is no need for active components or DC biasing. This streamlined architecture not only makes things easier, but it also uses very little power, with dynamic and static power measured at 15.82 μW and 65.6 …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 2, 2025 · pp. 45–52 Read article
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Advancements in Privacy-Preserving Techniques for Cloud Database Management Systems: A Review Analysis
Abstract: Cloud computing is a technology that provides a lot of configurable resources, enabling decentralized data execution and space. Cloud technologies have transformed the ideas of internal data storage and access to provide businesses with flexibility and efficiency. Thanks to cloud services like DBaaS, users may make use of advanced database features without having to worry about the burden of traditional databases. With more organizations moving to the usage of Cloud …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 1, 2026 · pp. 11–22 Read article
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The Emergence of Personal Desktop Voice Assistants for Effortless Task Management
Abstract: In an era defined by rapid technological advancement, desktop voice assistants have emerged as crucial tools, not only for enhancing productivity but also for fundamentally reshaping digital interactions. This study delves into the transformative potential of voice-enabled artificial intelligence in task automation, emphasizing its profound impact on efficiency, accessibility, and overall user experience. By harnessing the power of natural language processing and machine learning, these desktop assistants facilitate hands-free operation, …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 11–16 Read article
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Mood Mate: A Solid-State Edge-AI System for Real-Time Facial Emotion Recognition
Abstract: Recent progress in solid-state electronics and embedded vision systems has enabled real-time emotion-aware applications at the edge. This paper presents MoodMate, a solid-state edge-AI framework for real-time facial emotion recognition using camera-based sensing and embedded processing. The proposed system integrates a solid-state image sensor with an AI- driven emotion classification pipeline optimized for low-latency and resource-constrained environments. Intelligent, emotion-aware apps can now be deployed right at the network edge thanks …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 24–30 Read article
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EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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MAC Unit Implementation on FPGA
Abstract: Multiply–accumulate (MAC) computations account for a large part of machine learning accelerator operations. The pipelined structure is usually adopted to improve the performance by reducing the length of critical paths. An increase in the number of flip-flops due to pipelining, however, generally results in significant area and power increase. Using this method, we create and build a cutset-free feedforward MAC architecture that maximizes data propagation and removes superfluous pipeline registers. …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 29–37 Read article
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Adaptive Task Scheduling and Resource Optimization Using AI Middleware
Abstract: Modern distributed and heterogeneous computing systems face significant challenges in dealing with dynamically changing workloads, resource fragmentation, and changing latencies; existing traditional, or rule-based, specialized schedulers are no longer useful in achieving the best system performance. Such limitations highlight the importance of the adaptive scheduling paradigms that can learn, forecast, and react to the actual real-world conditions in the system. Artificial intelligence middleware is also an attractive solution to this …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 · pp. 23–31 Read article
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Integrated Perspectives on Fluid Mechanics and Energy Transport in Complex Flow Systems
Abstract: Fluid mechanics plays a central role in understanding the transport of mass, momentum, and energy in complex flow systems encountered in both natural and engineered environments. This review presents an integrated perspective on fluid behavior by combining fundamental principles with modern approaches to energy transport analysis. The study emphasizes the significance of conservation laws and their application to diverse flow regimes, including laminar, turbulent, compressible, and multiphase flows. Energy transport …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 1, 2026 · pp. 22–31 Read article
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Fundamental Principles of Fluid Behavior and Emerging Trends in Modern Fluid Mechanics Research
Abstract: Fluid behavior forms the foundation of numerous engineering technology and scientific applications, including aerospace flows, energy systems, and environmental processes. This paper presents a comprehensive overview of the fundamental principles governing fluid behavior, with a strong emphasis on their relevance to recent trends in fluid mechanic’s research. Core concepts such as fluid statics, fluid dynamics, and conservation laws are discussed to establish a solid theoretical framework. The study further examines …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 1, 2026 · pp. 14–21 Read article
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Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 · pp. 22–36 Read article
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The Impact of Artificial Intelligence on the Sales and Marketing of Pharmaceutical Products
Abstract: The rapid development of computing and technology has permeated all branches of science, with artificial intelligence (AI) emerging as a pivotal field in computer science. AI has significantly influenced disciplines ranging from basic engineering to pharmaceuticals. In healthcare and medicinal chemistry, AI applications have become indispensable. Traditional drug discovery approaches are gradually being overtaken by computer-aided drug design. In recent years, artificial intelligence (AI) and machine learning (ML) have become …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 · pp. 10–18 Read article
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Resilient Shell-Based Frameworks for Edge and IoT Systems: A Comprehensive Analysis of Lightweight Automation in Distributed Environments
Abstract: Edge computing and Internet of Things (IoT) deployments require automation solutions that minimize resource use while supporting real-time processing and intermittent connectivity. This study investigates shell-based frameworks for managing distributed edge and IoT systems, with emphasis on sensor integration, live monitoring, and fault recovery. Drawing from 200 real-world deployment cases across smart city, healthcare, and industrial domains, the analysis compares shell scripting directly against containerized approaches (e.g., Docker with lightweight …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 01–07 Read article
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AI Based Virtual Mouse Using Hand Gestures
Abstract: The field of human-computer interaction has advanced significantly over the last several years. To incorporate the use of a mechanical mouse for controlling the mouse pointers with hand gestures and color recognition, we employed a Human-Computer Interaction technique in this project. Object identification, image processing, and color recognition are the three key areas in which our project's suggested technologies are applied. In this project, we will demonstrate a revolutionary method …
Published in Current Trends in Signal Processing · Vol. 13, Issue 2, 2023 · pp. 1–7 Read article
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Investigating the Dynamics of Vortex Shedding in Bluff Body Flows
Abstract: In engineering applications, bluff body flows are commonplace. They are typified by the creation of vortices in the wake zone, a phenomena called vortex shedding. The current study uses a mix of computer simulations and experimental data to examine the dynamics of vortex shedding inbluff body flows. A range of bluff body designs were investigated, and the flow characteristics were analyzed using computational fluid dynamics (CFD) and high-resolution particle image …
Published in Journal of Experimental & Applied Mechanics · Vol. 14, Issue 3, 2023 · pp. 18–23 Read article
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Sustainable and Smart Solutions Utilizing Feature Descriptors Analysis
Abstract: Neighborhood highlight locators and descriptors (hereinafter extractors) play a key part within the cutting-edge computer vision for developing smart solutions. Their scope is to extricate, from any picture, a set of discriminative designs (hereinafter key points) show on a few parts of foundation and/or closer view components of the picture itself. A prerequisite of a wide run of down to earth applications (e.g., vehicle following, individual re-identification) is the plan …
Published in Journal of Electronic Design Technology · Vol. 13, Issue 3, 2022 · pp. 35–40 Read article
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Design of a Real-Time Temperature Monitoring System using PIC to PIC SPI Communication with Multiple Displays and Wireless GUI Control
Abstract: AbstractThis paper proposes a real-time temperature monitoring system using PIC to PIC communication with SPI protocol that can read, process and display the sensed data. The system has three modules, a Sensor (Slave) module, a Master module and a computer-based GUI module. The GUI provides control operations and communicates with the Master module over Bluetooth to send control commands and receive data. The Master module takes control commands from the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 7, Issue 2, 2020 · pp. 6–24 Read article
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Signature Forgery Detection using Python
Abstract: Visual representation of information has become increasingly significant in the digital computing environment. Advancements in computer and network technologies have led to a rise in the accessibility and transmission of digital images through imaging technologies like digital cameras and scanners. Any manipulation of digital images that involves copying one part of the image into another part is considered a picture forgery. It is crucial to research methods to verify the …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 1, 2023 · pp. 17–29 Read article
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Periodic Turing Machines
Abstract: AbstractIt is proved that in comparison with Turing machines, inductive Turing machines represent the next step in the development of computer science providing better models for contemporary computers and computer networks. In particular, it is proved that simple inductive Turing machines can solve the Halting Problem for Turing machines, while inductive Turing machines of higher orders can generate and decide the whole arithmetical hierarchy. It means that inductive Turing machines …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 3, 2014 · pp. 6–18 Read article
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Elevating Security in IoT Cloud Fusion: Challenges and Remedies
Abstract: The integration of internet of things (IoT) devices and cloud computing platforms, known as IoT cloud fusion, enables powerful new applications but also poses significant security risks. This paper provides a comprehensive analysis of the security challenges in IoT cloud fusion and emerging remedies to elevate protection. We assess key threats around data privacy, authentication, integrity, scalability, and interoperability through a systematic literature review methodology. Encryption, access controls, blockchain, and …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 41–55 Read article