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1629 articles for “system identification”
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Emotion Sensory World: A Review on Blue Eyes Technology
Abstract: Emotions are so valuable that it is an inevitable part and without emotions the world becomes numb. So, by giving some emotional values to devices we can make them more effective. This paper aims at the objective to provide computer or any other machines with the human powers. A computer that understands our emotions and abilities and responds accordingly will be the best partner for us. Both, together as partners …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 2, 2016 · pp. 18–25 Read article
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Experimental Characterization of Amplified Piezo Stack Actuator for Controlled Actuation of Microgrippers
Abstract: This paper presents the results of experimental characterization of an Amplified Piezoelectric Actuator (APA) under quasi-static operation. The data obtained from the study will be used for designing a control system for a microgripper which will be actuated using the APA. An improved measurement method suited for static force measurement was devised. The study identified relation between force applied by the piezo-actuator in relation to the applied voltage and resultant …
Published in Trends in Machine design · Vol. 2, Issue 1, 2015 · pp. 59–65 Read article
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Prioritization, Characterization and Geo-spatial Location of River Training Structures for Vrishabhavathi River using GIS Techniques
Abstract: Bengaluru drainage characteristics of natural catchments have drastically altered due to unplanned urbanization, increasing volume and rate of surface runoff. The frequent blockage of drainage system due to indiscriminate disposal of solid waste, encroachment of wetlands and increasing volume of flow makes coping up and worsening the present drainage systems. These problems of urban floods can be prevented by taking necessary precautions in places where these urban floods could occur. …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 3, 2017 · pp. 33–45 Read article
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Reduce Traffic Congestion Using Automated Traffic Navigation System
Abstract: The concept of activity routing without reliance on traditional activity signals is gaining significant traction. This innovative approach aims to enhance urban vehicular movement by eliminating the need for conventional traffic signal systems. This summary delves into the intricate realm of signal-free activity routing, incorporating advanced technologies such as artificial intelligence, machine learning, and sensor networks. The benefits, including reduced congestion, increased fuel efficiency, and improved traffic flow, are thoroughly …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 34–40 Read article
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Biometric Based Medical Informatics System
Abstract: Good medical practice requires the best, efficient and privacy-preserved patient health records. This paper focuses on few concerns related to the utilization of systems for maintaining health records. Primarily, Electronic Health Records (ECR’s) cannot be remotely accessed by the patient anywhere anytime, also maintaining the privacy of patient’s data. The proposed method aims on the potential use of biometric identification to maintain a common health record database limited by privacy …
Published in Journal of Operating Systems Development & Trends · Vol. 5, Issue 1, 2018 · pp. 22–26 Read article
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Innovations in Targeted Drug Discovery for Personalized Medicine
Abstract: Personalized medicine is revolutionizing modern healthcare by custoizing treatment plans to match an individual’s genetic makeup, protein expression, and metabomlic characteristics. Also referred to as precision medicine, this approach seeks to improve therapeutic outcomes, reduce adverse effects, and make efficient use of healthcare resources. The incorporation of various omics technologies—including genomics, proteomics, transcriptomics, metabolomics, and epigenomics—has greatly advanced our ability to understand disease biology and molecular variations specific to each …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 3, 2025 · pp. 19–41 Read article
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Botnet Beacon: Unveiling Covert Networks with Advanced AI Detection Strategies
Abstract: Securing information technology systems is paramount in today's interconnected world, where the reliability and security of networks and applications are of utmost importance. In this context, the development of a Botnet Detection System (BDS) that harnesses the power of AI classification algorithms becomes a critical endeavor. The primary objective of this work is to construct a comprehensive framework for a BDS that can efficiently gather network data and subject it …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 2, 2024 · pp. 26–32 Read article
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Animal/Object Recognition and Monitoring
Abstract: This study focuses on teaching a computer to identify leopards in images through a process called Object Detection and Image Recognition. We created a special set of pictures (dataset) containing thousands of leopard images. Using a small camera module called ESP32 CAM, we trained the computer to recognize leopards by comparing the images it captures with the ones in the dataset. The results were obtained using a Convolutional Neural Network …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 1–6 Read article
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Nano-Therapeutics in Diabetes Mellitus: Revolutionizing Diagnosis, Treatment, and Drug Delivery
Abstract: Diabetes mellitus is a chronic metabolic disorder in which blood glucose concentration remains high over an extended duration, resulting in significant lethal complications, including neuropathy, nephropathy and cardiovascular diseases. However, conventional diabetes management strategies, including insulin therapy and oral hypoglycemic agents, rarely exhibit poor bioavailability, high doses, off target delivery, etc. Nanotechnology has brought the rise of diabetes treatment revolution, by overcoming the challenges present in standard treatment, owing to …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 08–19 Read article
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The Role of Artificial Intelligence in Mental Health: Applications in Neurodegenerative Disorders
Abstract: Artificial intelligence (AI) has significantly changed many aspects of medical care, particularly the early evaluation, therapy, and management of neurodegenerative illnesses like Alzheimer's, disease, Parkinson's diseases, and Huntington's diseases. The current research explores the application of AI in mental health with respect to neurological disorders, especially advancements in cognitive examination, neuroimaging analysis, predictive modeling, and customized therapy modalities. Artificial intelligence (AI) systems have shown enormous potential in detecting minute biomarkers …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 34–40 Read article
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Reimagining Teacher Education in India: Evaluating NEP 2020’s Impact and Implementation Challenges
Abstract: India's educational system has undergone a substantial change with the implementation of the National Education Policy (NEP) 2020, which places a special focus on enhancing teacher preparation. The policy, which was endorsed by the Union Cabinet on July 29, 2020, was crafted by a commission led by former ISRO Chairman Dr. K. Kasturirangan, who defined the vision for the country’s updated education system. The NEP addresses various challenges within the …
Published in International Journal of Education Sciences · Vol. 2, Issue 1, 2025 · pp. 9–13 Read article
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Face Recognition Systems: An Anti-spoofing and Liveliness Verification Toolkit
Abstract: The safety of facial recognition technology is vital in the current digital era. In this research, a deep learning approach to face spoofing detection is presented, covering the complete process from data collection to real-time application. To guarantee model robustness, a 7,000-image bespoke dataset that includes both “real” and “fake” facial scenarios is curated. The YOLO architecture, a state-of-the-art object identification model, is used after necessary preprocessing. The model, which …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 2, 2023 · pp. 36–4`1 Read article
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Strengthening Low Voltage Ride-Through in Wind Energy Systems: A Comparative Study of DVR and STATCOM
Abstract: This study looks at the various methods used to improve the low-voltage ride-through (LVRT) capabilities of wind turbine systems (WT) that are based on double-fed induction generators (DFIG). The Type-III WT machine, which is mostly based on DFIG, is instantly connected to the grid without the digital power interface, making the terminal voltage or reactive electricity output unmanageable. This is because the world utilizes between 20% and 25% of renewable …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 3, 2024 · pp. 47–62 Read article
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Mapping the Literature on Digital Payment: A Comprehensive Review and Bibliometric Analysis
Abstract: This study essentially performs a comprehensive and in-depth analysis of the current research on digital payment systems. It examines and evaluates 346 journal papers from reliable sources like Scopus and Web of Science that were published between 2015 and 2023. The study intends to give readers a thorough grasp of the state of the art in the field of digital payments research, pinpoint new directions, and emphasize important issues. Among …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 41–59 Read article
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An Overview Of Phytochemical Constituent Identification Test And Therapeutic Actions Of Tribulus Terrestris Linn. Plant
Abstract: Tribulus terrestris is a plant often promoted as a dietary supplement for various health benefits, including increased testosterone levels. Some studies suggest potential positive effects on sexual function, but overall, more research is needed. Individual experiences with supplements can vary, so it's advisable to consult with a healthcare professional before using them. Tribulus Terrestris Linn. is a yearly growing herb which is found actually in china ,japan, western Asian countries, …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 10, Issue 3, 2023 · pp. 41–49 Read article
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Integrating Deep Learning and Computer Vision for Recognizing American Sign Language
Abstract: The only way the hearing-impaired community can exchange ideas is by utilizing non-verbal communication. The main challenge, however, is that the non-impaired community, which may not comprehend non-verbal communication, would struggle to communicate effectively with this group, and vice versa. The project is purposely devised to admit unwilling and dumb societies to transport ideas and connect with the organization. It aims to bridge the gap between the hearing- and speech-impaired …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 10–17 Read article
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The Role of Artificial Intelligence and Machine Learning in Redefining Global Healthcare Systems and Advancing Medical Innovation
Abstract: Health Services are being revolutionized with AI and ML through improved accuracy, efficiency and accessibility in the delivery of health care. With AI and ML, it is now possible for health care professionals to assess varying amounts of complex clinical data in a relatively short amount of time, therefore, creating opportunities for early detection of disease, increasing the odds of accurate diagnosis, and improving the ability to make informed clinical …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 14–19 Read article
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Study of Fire Safety Management for Hospitals in Amravati City
Abstract: Hospitals are considered a place of hope and offers sense of security in the aftermath of a disaster situation. Safe hospitals have symbolic social value; losing a health facility leads to a sense of insecurity and social instability. Disaster-resilient hospitals must be able to protect the lives of patients and staff and continue to function. Hospitals need to ensure structural safety, non-structural safety and functional safety. The responsibility to take …
Published in Journal of Industrial Safety Engineering · Vol. 2, Issue 3, 2015 · pp. 17–16 Read article
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A Study to Assess the Learning Style Preferences among Selected GNM and B.sc Nursing Students in College of Nursing, Christian Institute of Health Sciences and Research (CIHSR), Dimapur, Nagaland
Abstract: The concept of learning styles has developed drastically among professional educators in all stages of the educational system. The expression of “learning styles” refers to the understanding that every student acquires knowledge and skills differently. Some learners demonstrate better when information is presented through the use of words known as ‘verbal learners’, whereas others learn more efficiently when it is processed through the use of pictures known as ‘visual learners’. …
Published in Journal of Nursing Science & Practice · Vol. 11, Issue 1, 2021 · pp. 37–43 Read article
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Energy-Efficient Parallel Computing for Edge Devices: Techniques, Challenges, and Emerging Research Directions
Abstract: Edge computing brings computation closer to data sources, which supports low-latency applications but places substantial demands on energy-constrained and heterogeneous devices. Parallel execution across multicore CPUs, GPUs, FPGAs, and other accelerators can improve responsiveness, but it also complicates scheduling, power management, and resource allocation. This review examines six closely related technique families: energy-aware task scheduling, dynamic voltage and frequency scaling (DVFS), task offloading and resource allocation, artificial-intelligence-based optimization, hardware acceleration, …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 35–41 Read article