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66 articles for “contemporary computer”
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The Future of Robotics: A Review of AI-Enabled Robotics Research, Development, and Applications
Abstract: Robotics powered by artificial intelligence (AI) is transforming contemporary industries by empowering machines to learn, adapt, and operate on their own in intricate, changing contexts. The breadth and capabilities of automation have been greatly expanded by the convergence of AI technologies with robots, including machine learning, deep learning, computer vision, and natural language processing (NLP). With an emphasis on technological advancements, application areas, and research advances, this study examines current …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 33–38 Read article
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CNC-Based Rangoli Drawing Machine
Abstract: The CNC based Rangoli draw machine is an artful fusion of technology and traditional artistic expression. Those automated device, utilizing computer numerical control (CNC) principles, is designed for crafting intricate designs on sand or creating vibrant Rangoli patterns with precision and efficiency. Users can program the machine with their desired designs, specifying every detail, and watch as it meticulously dispenses sand or colored materials onto the canvas. It offers a …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 11–17 Read article
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Explainable Artificial Intelligence in Personalized Medicine: Emerging Clinical Perspectives
Abstract: The convergence of artificial intelligence (AI) and precision medicine has transformed contemporary healthcare by enabling data-driven clinical decision-making, individualized therapeutic interventions, and predictive diagnostics. However, despite remarkable advances in machine learning (ML) and deep learning (DL), the widespread adoption of AI in healthcare remains constrained by the “black-box” nature of many computational systems. Clinicians, regulatory agencies, and patients increasingly demand transparency, interpretability, and trustworthiness in AI-guided medical recommendations. Explainable Artificial …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 13–29 Read article
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Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
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Currents, Waves, and Whirls: An Academic Exploration of Fluid Mechanics
Abstract: Fluid mechanics investigates the behavior of liquids and gases in motion and at rest, revealing the principles that control natural occurrences and engineering systems alike. This article gives an easy review of essential concepts such as fluid characteristics, pressure, flow patterns, and the contrast between laminar and turbulent flow. It explores how fundamental rules, including conservation of mass and energy, impact the transport of fluids across varied settings. Through real-world …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 1, 2026 · pp. 8–13 Read article
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Enhancing Energy Storage and Optimization of Distributed Energy Resources Using a Hybrid SWOA-MSNN Approach
Abstract: The fast growth of Distributed Energy Resources (DERs) like solar photovoltaics, wind power, and energy storage devices requires enhanced optimization methods to manage energy efficiently and stabilize operations in contemporary smart grids. A significant challenge is the dynamic optimization of the energy storage systems (ESS) and the distribution of the energy among DERs in conditions of uncertainty of loads and generation. The conventional control and optimization methods generally find it …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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A Thorough Examination of the Chemical Engineering Process: Fundamentals, Design, and Application
Abstract: This article gives a full picture of the chemical engineering process, focusing on the basic ideas, methods, and tools that make up the profession. It looks at how chemical, physical, and biological processes change raw materials into useful goods, with a focus on how design, optimization, and control work together in industrial systems. Some of the main topics talked about are process design, thermodynamics, reaction engineering, transport phenomena, and sustainability. …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 · pp. 14–25 Read article
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Progress and Uses of Satellite Remote Sensing
Abstract: Satellite remote sensing has become an important tool for watching, studying, and controlling both natural and man-made systems on Earth. Satellite sensors collect electromagnetic radiation that is reflected or transmitted from the Earth's surface. This data is needed for environmental monitoring, resource management, and hazard assessment. Recent improvements in sensor resolution, data processing techniques, and cloud-based platforms have made remote sensing applications much more accurate and easier to use. The …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 8–19 Read article
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Security Challenges and Solutions in Wireless Sensor Networks: a Case study of Afghanistan
Abstract: Due to their capability to collect and relay data from locations without supervision, Wireless Sensor Networks (WSNs) have become essential for numerous contemporary applications (such as environmental monitoring, smart cities, and healthcare). However, the open and resource-constrained nature of WSNs makes them particularly vulnerable to security threats. This paper reviews the key security Issue faced by WSNs and the solutions proposed in recent literature. We examine the unique constraints of …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 1, 2026 Read article
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Detection of Weapons and Alert System in ATM
Abstract: In contemporary society, the prominence of security and safety has become a significant apprehension. Every day, both stores and banks fall victim to robberies, and the frequency of such incidents is progressively increasing. The assurance of public safety has emerged as a crucial matter in the present era, particularly considering the escalating global security concerns. Considering the advancements in computer vision technologies, the utilization of You Only Look Once (YOLO) …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 20–24 Read article
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From Noise to Insight: An Academic Study of Electrical Signal Processing
Abstract: Electrical signal processing is very important for turning raw, often noisy data into useful and actionable information. This article gives a simple and easy-to-understand summary of the basic ideas and methods used in electrical signal processing, such as filtering, signal representation, modulation, and spectrum analysis. The focus is on how to effectively eliminate noise and interference to improve the quality and dependability of signals. The conversation connects ideas from theory …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 Read article
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Improving Supply Chain Resilience through Predictive Analytics and Real-Time Data Integration
Abstract: Demand forecasting has under gone major changes because to the incorporation of automated analytics into supply chain management (SCM), which has improved company productivity, accuracy, and responsiveness. Central to this transformation is the application of machine learning (ML), which enables the analysis of large and complex datasets to identify patterns, detect trends, and generate precise forecasts. Conventional methods for predicting frequently rely on linear models and historical sales data, which …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 8–17 Read article
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AI and ML-Driven Immersive Technologies: A New Era in Education
Abstract: The very fast adoption of Artificial Intelligence (AI) and Machine Learning (ML) in education has transformed contemporary teaching and learning ecosystems driven by advances in immersive technologies and the growing engagement of global technology leaders with virtual environments. AI-powered educational platforms enable adaptive and personalized learning pathways by dynamically adjusting content, pace and instructional strategies to learners’ preferences, abilities and learning styles by improving engagement, retention and academic outcomes. Deep …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 116–123 Read article
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Automation and new mechanical technologies changing the next industrial age
Abstract: The fast growth of automation and new mechanical technologies is changing the way industries work, making manufacturing and production systems more efficient, accurate, and flexible than ever before. This article looks at how sophisticated mechanical design, robotics, and intelligent automation technologies can work together and how they can improve productivity, lower costs, and make operations more sustainable. To show how mechanical engineers are influencing the next industrial era, we look …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 18–23 Read article
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Advancements in Smart Home Technology: Evoview’s Impact and Reflection
Abstract: The “EvoView” project is a sophisticated blend of design and technology, featuring RaspberryPi 4, a sleek display panel, a meticulously crafted wooden frame, and a one-way glass mirror. This innovative mirror transforms into an information hub, displaying real-time weather updates, current time, news, and upcoming events seamlessly. A strategic decision was made when the Raspberry Pi 3 Plus 4 was selected as the project's central processing unit. This option allows …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 1, 2024 · pp. 16–21 Read article
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IoT-based Marine Life Tracking and Pollution Monitoring System
Abstract: In the contemporary world, marine pollution stands as a significant challenge that has adversely affected oceans over the decades. This issue has been exacerbated by human activities, including the improper disposal of sludge, oil spills, and agricultural runoff entering marine environments without adequate regulatory oversight. The repercussions of ocean pollution are detrimental, impacting marine ecosystems, the environment, and ultimately human health. The Internet of Things (IoT) has emerged as a …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 1, 2025 · pp. 11–20 Read article
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From Differential Equations to Data Science: A Survey on Analytical Methods in Contemporary Problems
Abstract: The integration of differential equations and data science methods represents a dynamic and evolving approach to solving contemporary challenges across a wide range of disciplines, including engineering, physics, biology, economics, and finance. Differential equations have long served as fundamental tools for modeling continuous systems and processes, offering powerful insights into the behavior of natural and man-made phenomena. For example, they describe how heat diffuses through materials, how populations grow in …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Role of the Surgical-Ward Nurse in Identifying, Escalating, and Managing Postoperative Anastomotic Leak in Colorectal Patients: A Narrative Synthesis in an Australian Nursing Perspective
Abstract: Purpose: Postoperative colorectal anastomotic leak (AL) is one of the most feared complications after colorectal surgery because of its association with sepsis, reoperation, mortality, prolonged hospital stay, delayed adjuvant therapy, and permanent stoma formation. This narrative practice review outlines the frontline role of surgical-ward nurses in the early identification, escalation, and interim management of AL within the Australian acute-care context. Methods: A narrative synthesis of contemporary consensus statements, systematic reviews, …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 1, 2026 · pp. 7–12 Read article
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A Review on the Interconnection Between Drug Design and Controlled Drug Delivery Systems
Abstract: Drug discovery and delivery are two branches of science that have historically developed as independent areas of discovery – one focused on optimizing the properties of molecules for biological activity, and the other on controlling the rate, site, and duration for drug release. However, in contemporary pharmacy, these two areas have merged into a single integrated approach – where drug discovery and delivery strategies co-influence each other at each point …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 47–52 Read article
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Studies of Mathematics: A Review of Research Trends, Themes and Implications
Abstract: This review examines contemporary research trends, thematic developments, and emerging implications within the field of mathematics education and mathematical studies. Drawing on a synthesis of recent scholarly literature, it explores how mathematics as both a discipline and a pedagogical practice continues to evolve in response to technological advancements, interdisciplinary applications, and changing educational paradigms. Major research trends reveal a growing emphasis on problem-based learning, mathematical modeling, and the integration of …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 19–24 Read article