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171 articles for “Translation Systems”
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Develop a System to Control a Prosthetic Hand by Using EMG
Abstract: An EMG-controlled prosthetic hand is a type of artificial hand that users can control through muscle signals. When a person with a missing hand tries to move their "phantom" hand, the muscles in the remaining part of the arm still produce electrical signals. Small sensors placed on the skin detect these signals, which are then translated into movements of the prosthetic hand, like opening, closing, or gripping objects. This technology …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 3, 2025 · pp. 01–06 Read article
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Brain Machine Interface: A Review of Current Technologies and Future Directions
Abstract: Brain Machine Interface (BMI) is a rapidly growing field that aims to establish direct communication between the brain and an external device. This technology has the potential to restore lost motor and sensory functions in people with neurological disorders or injuries. A brain-computer interface (BCI) is a technology that converts signals from the brain into instructions for computers or other gadgets. This innovation allows individuals to engage with their surroundings …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 14–24 Read article
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Enhancing Image Classification Performance with Deep Neural Networks
Abstract: Classifying images is useful in many domains, including the study of plant diseases and the analysis of human expressions. Image categorization employing the idea of a “deep neural network” helps to compact otherwise cumbersome photos. It is possible to classify images by using the idea of a “deep neural network”. Self-driving cars, medical diagnosis, automatic translation, etc., all make use of Deep Neural Networks. Recently, excellent results have been achieved …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 · pp. 13–23 Read article
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Biomimetic Approaches to Damage Tolerance: Lessons from Natural Materials
Abstract: Biomimicry has emerged as a powerful and innovative strategy for designing materials with enhanced damage tolerance by drawing inspiration from biological systems found in nature. Various natural materials, such as bone, nacre (mother-of-pearl), and spider silk, display exceptional mechanical properties, including high toughness, superior strength, and inherent self-healing capabilities. These remarkable attributes arise from their complex hierarchical architectures and adaptive mechanisms, which have been refined over millions of years through …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 11–16 Read article
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Toxicology 4.0: Integrating Artificial Intelligence, Big Data, Health Informatics, and Precision Analytics for Predictive Toxicity Assessment, Real-Time Toxicovigilance, and Personalized Patient Safety
Abstract: Background: Toxicology is undergoing a major transformation, increasingly described as Toxicology 4.0, driven by the integration of artificial intelligence (AI), big data analytics, health informatics, and precision analytics. Conventional toxicity testing is limited by high costs, lengthy timelines, and challenges in translating animal and low-throughput in vitro findings to humans. Aim and Objectives: To comprehensively evaluate the emerging role of Toxicology 4.0 in predictive toxicity assessment, real-time toxicovigilance, and personalized …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 2, 2026 Read article
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Nutrition Induced Remodeling Dynamics of Cell Membranes: Implications for Performance, Health, and Welfare Issues in Food Animals
Abstract: Cell membranes represent dynamic structural and functional platforms that integrate nutritional signals with cellular metabolism, immune competence, and physiological adaptation in food animals. Beyond their classical role as selective barriers, membranes actively regulate nutrient transport, signal transduction, and bioenergetics through highly responsive lipid and protein networks. Dietary components, particularly fatty acids, vitamins, minerals, amino acids, and bioactive compounds, critically influence membrane composition, fluidity, and stability, thereby shaping cellular function and …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 25–37 Read article
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Standardization and Quantitative Estimation of Chemical Constituents of Lipotab Unani Herbal Tablets
Abstract: The Unani poly-herbal drug Lipotab tablet is therapeutically used for cardiac health. There are no standard procedures available for evaluation of the constituents present in any herbal products. Standardization and quality control of indigenous medicines will not only increase the benefit of the drugs but also translate into higher profits for the industry. In the present study, the constituents of Lipotab tablet, i.e., turmeric (Curcumin) and garlic (thiosulphinate allicin) has …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 1, Issue 2, 2014 · pp. 23–31 Read article
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Therapeutic Potential of Terminalia arjuna Bark in the Management of Hemorrhoids: A Comprehensive Review
Abstract: Background: Hemorrhoids appear frequently among anorectal disorders since they create vascular swelling together with pain symptoms, while leading to bleeding and mucosal tissue tending to slide out. Though effective therapy exists, traditional treatments produce various adverse effects and lead to recurrence and inconsistent patient following of medical recommendations over the long term. Plantbased therapeutic medicines have gained rising demand, which leads experts to investigate medicinal plants with established pharmacological effects. …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 2, 2025 · pp. 22–32 Read article
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Artificial Intelligence and Personalized Learning
Abstract: Artificial Intelligence is transforming education by delivering customized learning pathways that align with each learner’s unique abilities and areas for improvement. Traditional teaching often struggles to meet individual needs; however, AI-powered systems analyse learning patterns in real time, ensuring customized lessons. Virtual tutors and AI chatbots provide instant feedback and 24/7 support, improving comprehension. Gamified learning, combined with augmented and virtual reality, transforms education into a more engaging and enjoyable …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 11–18 Read article
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A Study on Leveraging Sensors and AI in Insect-Inspired Robotics for Unstructured Environments: Bio-Inspired Autonomy
Abstract: Insects, with their unparalleled agility, resilience, and highly efficient sensory-motor control in complex, unstructured environments, offer a rich blueprint for the next generation of autonomous robots. This study explores the design, implementation, and potential of insect-inspired robots, focusing on the synergistic integration of miniaturized sensor arrays and advanced Artificial Intelligence (AI) algorithms. We delve into bio-mimetic sensing, drawing inspiration from compound eyes, olfactory systems, and tactile hairs, to equip robots …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 7–21 Read article
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High-Performance Polymer Composites for Next-Generation Biomedical Sensor Interfaces
Abstract: High-performance polymer composites are emerging as versatile platforms for next-generation biomedical sensor interfaces because they can combine mechanical compliance, electrical functionality, biocompatibility, and structural tunability within a single material system. However, the rapid expansion of polymer matrices, conductive nanofillers, hydrogels, and biodegradable materials has produced a highly diverse literature, making it difficult to identify how material composition and interfacial structure determine sensor performance and clinical suitability. This review critically examines …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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RNA- Based Drug Delivery, Current Advances, Pharmaceutical Applications, and Future Perspectives
Abstract: RNA-based therapeutics have emerged as a transformative approach in modern medicine due to their ability to regulate gene expression with high specificity and precision. Advances in molecular biology, RNA chemistry, and nanotechnology have accelerated the development of diverse RNA modalities, including messenger RNA (mRNA), small interfering RNA (siRNA), microRNA (miRNA), antisense oligonucleotides (ASOs), and RNA aptamers. These therapeutics offer promising strategies for the treatment of cancer, genetic disorders, infectious diseases, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 2, 2026 · pp. 27–41 Read article
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Color and Texture Features Based Object Recognition Using Machine Learning Methods
Abstract: Object recognition in images is a simple task for human but it is a complex and challenging task for machines due to different factors such as occlusion, lightening, object size, scaling etc. A Robust and automatic image processing system is thus critically required to make such a sampling approach practical. In this paper, we propose a method for classification of objects in images by incorporating global descriptors of the image …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 1–11 Read article
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Advancements in Smart Hand Gloves for Paralysis Rehabilitation: A Review
Abstract: With the help of Smart Hand Gloves, people with disabilities can live alongside healthy people. A deaf person can use this smart glove to translate his hand signals into text and voiceovers because they cannot speak. This makes it simpler for the typical person to understand what he is saying and to react accordingly. With the help of these smart gloves, people with physical limitations can live freely by being …
Published in Current Trends in Signal Processing · Vol. 13, Issue 1, 2023 · pp. 19–24 Read article
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Deploying Optimal Number of Sensors and Damage Detection in Structural Health Monitoring Using SEM-GA Method
Abstract: Detecting damages is the most important criterion in any engineering creation—be it a machine or a building. Among the engineering creation, civil engineering structures need a continuous monitoring to check their operations, performance and the health status of the structures. Damage detection cannot be done manually every time. Automated systems have to be developed in order to monitor the health of the structure periodically. Hence, structural health monitoring (SHM) aims …
Published in Current Trends in Signal Processing · Vol. 6, Issue 2, 2016 · pp. 28–35 Read article
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Automatic Image Description Generation Using Deep Learning Techniques
Abstract: Automatic Image Description Generation methods are extremely useful for image retrieval, search and organization. Previous approaches either use the existing labelled dataset to compose sentences or compose a new description for the test image by exploiting available descriptions of the training images. In practice these methods have limited accuracy, hence if the most important objects in an image cannot be identified, then they cannot generate valid description. Another difficulty lies …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 1, 2019 · pp. 28–37 Read article
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Devanagari Script Recognition System using Combined Approach
Abstract: We envisioned serving simple technique with novel idea for the newcomers, working in the Devnagari Optical Character Recognition (DOCR) area. In this system, template matching technique and statistical technique is combinely used for the character recognition. Statistical information is considered as a feature of an image and here pixels values are considered as feature to achieve the recognition. The numbers of comparisons are drastically reduced compared to traditional template matching …
Published in Current Trends in Signal Processing · Vol. 4, Issue 1, 2014 · pp. 4–10 Read article
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Metabolomics: At a Glance
Abstract: Metabolomics is the branch of science which provides the comprehensive analysis of metabolites in a biological system which in turn is useful as a marker. Metabolomics analysis is useful for ascertaining human health conditions. It will provide an insight to cellular metabolism. Since the metabolome directly reflects physiological states, it can biochemically monitor disease states and assess drug actions, improving the preclinical to clinical translation and focusing on predictability, efficiency …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 4, Issue 1, 2017 · pp. 23–30 Read article
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Revolutionizing Artificial Organs: Next-Generation Membrane Technologies for Precision Medicine and Global Health
Abstract: Membrane technology has emerged as a cornerstone in the advancement of artificial organ systems, offering critical functionalities in selective molecular filtration, tissue scaffolding, and controlled therapeutic delivery. Recent innovations have propelled the field beyond traditional polymeric membranes to include nanostructured, biomimetic, and stimuli-responsive materials, significantly enhancing biocompatibility, selectivity, and durability. The integration of smart technologies, such as AI-driven membrane design, bioelectronic sensors, and personalized fabrication via 3D printing, is ushering …
Published in International Journal of Membranes · Vol. 2, Issue 2, 2025 · pp. 29–39 Read article
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Ethical Risks of Generative AI in Education: Challenges, Implications, and a Responsible Use Framework
Abstract: The rapid diffusion of generative artificial intelligence (AI) technologies in educational settings is reshaping how teaching, learning, and assessment are designed and enacted. Large language models and related generative systems offer powerful capabilities for content creation, personalized feedback, and instructional support, promising gains in efficiency and learner engagement. However, their growing use also introduces a complex set of ethical risks that challenge foundational educational values such as integrity, equity, transparency, …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 23–30 Read article