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114 articles for “Task complexity”
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Diabetes Prediction Using ML Techniques
Abstract: Diabetes mellitus, commonly referred to as diabetes, denotes a cluster of prevalent endocrine disorders characterized by persistent elevated levels of blood sugar. Diabetes is classified into two main types: type 1 and type 2. Type 1 diabetes arises when the body is unable to produce insulin, while type 2 diabetes involves either insulin resistance or insufficient insulin production. Early detection and intervention are essential to reduce its harmful impacts. The …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Recent Trends in Ocular Drug Delivery: Challenges and Approaches
Abstract: Drug topically regulation can be accessed most easily in the eye. When given topically as eye drops, medication ocular bioavailability is quite low. Drug entry into specific ocular locations is complicated by the complex anatomy and physiology of the human eye. Research has long been interested in the topical administration of successful treatments. To provide a suitable ocular penetration and extend the duration of drug residence is their challenging task. …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 3, 2024 · pp. 22–38 Read article
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Optimizing System Management: Innovative Approaches to Shell Scripting for Automation in Large-Scale Systems
Abstract: In today’s dynamically changing technology environment, effective systems management is of utmost importance for enterprises that run their applications or services on large-scale infrastructure. In this article, I detail some of these practices as applied to shell scripting, a fundamental building block for process automation in such environments. Using these advanced scripting methods, system administrators can perform routine tasks much more efficiently than they would manually and greatly reduce the …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 32–40 Read article
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Predicting and Prohibiting the Risk of Heart Failure Using Machine Learning
Abstract: It is challenging to estimate the likelihood of complex chronic disease while treating conditions like heart failure. The application of machine learning, an area of artificial intelligence, in cardiovascular care is growing quickly. In essence, it defines how computers classify and understand data, or choose a task with or without human intervention. The theoretical underpinnings of machine learning are models that accept input data (such as images or text) and …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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Tactile Sensing Technologies in Robotics: A Review of Sensors, Materials, and Applications
Abstract: Tactile sensing, which closely resembles the human sense of touch, is an essential capability in modern robotics. It enables robots to detect and interpret physical interactions with objects, surfaces, and living beings, thereby allowing them to operate more intelligently and adaptively in complex environments. Unlike visual or auditory sensors, tactile sensors provide direct feedback about contact, pressure, texture, force, temperature, and even vibration. These sensory cues are vital for improving …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 17–23 Read article
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Study of Cost Overrun in Repair & Rehabilitation Projects in India
Abstract: In broad sense, the word "rehabilitation" suggested putting a building back to how it was before. The specialized area of repair and rehabilitation engineering necessitates knowledge and skills that go beyond those needed for design and construction engineering. Repair and rehabilitation projects are significantly more challenging and more complicated than new construction projects. It is vital to take a methodical approach to structural deterioration, and technology management and economics should …
Published in International Journal of Architectural Design and Planning Read article
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Parametric Optimization of Aluminum Alloy 6061 Using Wire-EDM for Automotive Applications: A Taguchi-Based Approach
Abstract: Machining hard materials with complex geometries presents numerous challenges, often requiring the use of non-traditional methods such as wire Electric Discharge Machining (EDM). However, wire EDM machines operate at slow speeds, and increasing the speed can negatively impact surface finish, making it a difficult task. The ongoing research investigates the machinability study of Aluminum Alloy 6061 using wire EDM, emphasizing the optimization of process parameters to enhance machining performance and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 293–302 Read article
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Design and Development of an Automated Robotic Algorithm for Blasting, Painting, and Barnacle Cleaning of Offshore Structures
Abstract: Marine surface maintenance tasks such as barnacle removal, abrasive blasting, and protective painting are traditionally carried out using manual methods that are labor-intensive, hazardous, and prone to variability in quality. These challenges are particularly significant for offshore structures, where harsh environmental conditions and restricted accessibility increase operational risks and maintenance costs. This paper presents the design and evaluation of an autonomous robotic system for automated surface preparation and coating of …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 1, 2026 · pp. 1–12 Read article
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Recent Trends in Programming Languages: Navigating the Evolving Landscape
Abstract: The programming language landscape is constantly changing, driven by technological progress, evolving developer preferences, and the growing complexity of today's applications. As software development becomes more sophisticated, the demand for programming languages that can accommodate various paradigms and streamline workflows has intensified. This paper explores recent trends in programming languages, focusing on significant innovations in language design, the emergence of new paradigms, and the transformative impact of technologies such as …
Published in Recent Trends in Programming languages · Vol. 11, Issue 3, 2024 · pp. 10–20 Read article
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Developments in Power Electronics for the Integration of Renewable Energy
Abstract: As the integration of renewable energy sources into current power grids becomes an increasingly crucial task in the global transition towards a more sustainable energy future, the role of power electronics in this domain has become paramount. Effective conversion, control, and management of electrical energy from diverse sources hinge on the advancements in power electronics technologies, which are instrumental in addressing this complex challenge. This research paper provides an in-depth …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 1, 2024 · pp. 37–48 Read article
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Offloading Computation to the Cloud
Abstract: Mobile devices are increasingly relied upon for complex and resource-intensive applications such as real-time video processing, augmented reality, and machine learning. However, their limited computational power, storage capacity, and battery life pose significant challenges. Computation offloading to the cloud has emerged as a promising solution to overcome these limitations by transferring demanding tasks from mobile devices to remote cloud servers. This approach enables improved performance, reduced energy consumption, and enhanced …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 27–37 Read article
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3D Printing for Polymer Science Visualization
Abstract: The burgeoning field of 3D printing offers exciting possibilities for various scientific disciplines. This paper explores the potential integration of 3D printing technology within the realm of polymer analysis. While the core focus of memory forensics investigations lies in digital forensics, the concept of 3D printing complex data structures presents intriguing possibilities for the visualization and communication of findings in polymer science. Here, we propose a future research avenue where …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 96–101 Read article
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Harnessing Shell Scripting for Autonomous System Management: A Vision for the Future
Abstract: As IT systems become increasingly complex, the demand for efficient and automated management solutions is more critical than ever. This paper investigates the pivotal role of shell scripting in the development of autonomous systems that can self-manage and optimize their operations. Shell scripting, with its powerful automation capabilities, serves as a foundational tool for orchestrating various tasks, including system monitoring, data analysis, and deployment processes. We begin by examining current …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 17–31 Read article
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Advancements and Challenges in Automated Guided Vehicles for Smart Industrial Automation
Abstract: Automated Guided Vehicles (AGVs) are increasingly central to modern industrial automation, enhancing operational efficiency in manufacturing, warehousing, and logistics. Traditionally reliant on fixed paths using magnetic tapes or wired tracks, AGVs were limited in flexibility. However, recent technological advances have enabled the development of autonomous AGVs equipped with sensor fusion, LiDAR, computer vision, and artificial intelligence (AI). These features support real-time obstacle detection, dynamic path planning, and robust performance in …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 1–5 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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Greener 3D Printing: The Role of Artificial Intelligence in Sustainable Polymer and Composite Manufacturing
Abstract: The integration of sustainable materials with additive manufacturing (AM) technologies marks a significant step towards environmentally responsible production. Biodegradable polymers, recycled thermoplastics, and bio-based composites, when used in 3D printing, offer the potential to reduce the ecological footprint of manufacturing. However optimizing the interplay between material properties process parameters, and product performance remains a complex challenge. This review examines how artificial intelligence (AI) is being applied to address these challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 288–300 Read article
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Challenges in Parallel Computing for Big Data Analytics
Abstract: The integration of parallel computing into the realm of big data analytics promises accelerated processing speeds and enhanced scalability, but it is not without its formidable challenges. This study explores the multifaceted hurdles faced in the pursuit of efficient parallel processing for large-scale data analytics. The intricate task of distributing and partitioning massive datasets across multiple processing units demands adept strategies to ensure equitable workloads. Load balancing emerges as a …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 1–6 Read article
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Efficient Gabor Filter Design Using Verilog HDL with Multiplier-accumulator (MAC) Implementation
Abstract: This paper introduces a novel and enhanced Gabor filter design aimed at addressing the demands of image processing applications using the Verilog Hardware Description Language (HDL). Specifically, it leverages the Reconstruct Gabor filter technique to elevate the performance and quality of standard image outputs. The primary objective of this research endeavor is to simplify the study, conduct an in-depth analysis, and substantially enhance the design's efficiency, all while ensuring the …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 1, Issue 2, 2023 · pp. 40–46 Read article
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Scaling of Machine Learning Techniques in Medical Imagining and Biomedical Applications Concerning Healthcare
Abstract: Machine learning refers to a field within computer science enabling computers to learn without explicit programming. Stemming from artificial intelligence's study of pattern recognition and computational learning theory, machine learning develops algorithms capable of learning from vast datasets and making predictions. Its applications span diverse computing tasks like email filtering, network intrusion detection, optical character recognition, and computer vision, where conventional algorithm design proves challenging. Notably, in computer vision, a …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 41–44 Read article
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Verilog-Based Image Processing on Field Programmable Gate Arrays: Design and Implementation
Abstract: Integrated circuits known as Field Programmable Gate Arrays (FPGAs) are frequently offered for sale off the shelf. They are known as "field programmable" because, following manufacture, they enable users to modify the hardware to satisfy particular use case needs. This makes it possible to update features and correct bugs in-place, which is very helpful for remote deployments. Configurable logic blocks (CLBs) and a series of programmable interconnects are features of …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 3, 2024 · pp. 13–26 Read article