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1968 articles for “ztial arts” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Artificial Intelligence in Speech Recogniztion
Abstract: Artificial intelligence is the science of automating intelligent behaviors currently achievable by humans. In the future, intelligent machines will replace or enhance human capabilities in many areas. Artificial intelligence is the intelligence exhibited by machines or software. The speech input facility is the most user-friendly way, adopted by development of speech recognition based on sophisticated technologies. AI is behavior of a machine, which, if performed by a human being, would …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 2, 2018 · pp. 15–18 Read article
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Artificial Neural Network Model for Stock Market Forecasting
Abstract: AbstractIn recent years, many attempts have been made to predict the behavior of bonds, currencies, stocks or stock markets. Neural networks, as an intelligent data mining method, have been used in many different challenging pattern recognition problems such as stock market prediction. The aim of this paper is to predict stock market using artificial neural networks (ANNs). The authors used feed forward neural network trained by back-propagation algorithm to make …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 1, 2014 · pp. 7–12 Read article
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Homeopathy: Beyond the Art of Micro-dosage
Abstract: Homeopathy has, ever since its inception, evolved as a refined method of remedy diagnosis and prescription, offering a wide variety of medicinal substances for use in therapeutic practice and preventative medicine in micro-dosages. It does not follow conformist medical thinking. Hence, it has been continually attacked by the orthodox, or conventional medical establishments for all the wrong reasons and also without taking into account its unique, individualised patient-centric nature of …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 7, Issue 1, 2018 · pp. 5–13 Read article
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Effectiveness of Life Skill Training through the Art of Storytelling on Adjustment of Children with Conduct Disorder
Abstract: Introduction: conduct disorder is the most common disorder seen in children. This study investigated the effect of training of life skills on the adjustment level of the children with conduct disorder. Method: Sixty-eight children of conduct disorder from Delhi state in India were given life skill training through the art of storytelling. Pretest –intervention- posttest design was used in this study to draw the results. Appropriate stories from the module …
Published in Journal of Nursing Science & Practice · Vol. 9, Issue 1, 2019 · pp. 11–18 Read article
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Conceptual Study on Kukkutanda Pinda Sweda: A Review Article
Abstract: Swedana is a procedure that is most commonly used as Poorva-Karma (pre-operative) before any Panchakarma therapy. Swedana relieves from stiffness, heaviness, and coldness in the body. After Swedana, the body starts sweating and gives the feeling of lightness in the body. It can be performed by various methods. Pinda Sweda is based on the principle of Sankara Sweda. In this procedure, the materials are tied in a cloth and used …
Published in Research and Reviews: A Journal of Health Professions · Vol. 10, Issue 3, 2020 · pp. 14–18 Read article
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Mental Health and Artificial Intelligence (AI): Marching towards Future
Abstract: One of the most crucial but frequently disregarded facets of our wellbeing is our mental health. In the medical domains of dermatology, radiology, and oncology, artificial intelligence (AI) is being used more and more. AI hasn't been heavily utilised in mental healthcare, though. The need for AI to help identify high-risk individuals and give interventions to prevent and treat mental illnesses is essential due to the high morbidity and mortality …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 3, 2023 · pp. 91–95 Read article
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Is Beating Heart Coronary Artery Bypass Graft Surgery Associated with Lesser Oxidative Stress and Inflammatory Response?
Abstract: Cardiac operations using cardiopulmonary bypass have been associated with systemic inflammatory response, increased levels of circulating adhesion molecules, and oxidative stress. This study aims to assess various responses in patients undergoing coronary artery bypass grafting (CABG) with or without Cardiopulmonary bypass (CPB) with respect to time after surgery. Sixty consecutive patients undergoing CABG either by on-pump or off-pump technique were studied. Serum levels of tumor necrosis factor- (TNF- -6 (IL-6), …
Published in Research and Reviews : A Journal of Immunology · Vol. 1, Issue 1-3, 2011 · pp. 16–26 Read article
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Attitude of Parents Towards their Children with Mentally Retardation—A Review Article
Abstract: Mental retardation has been a social stigma and it is indicative of the illiteracy and lack of scientific knowledge among the individuals in the society. A great emotional flexibility and emotional stability is required for raising a child with mental retardation. According to the World Health Organization’s (WHO) report, around 3% of the general population suffers with mental retardation. Existing studies reveal that very often the parents as well as …
Published in Research and Reviews: A Journal of Medicine · Vol. 9, Issue 2, 2019 · pp. 10–14 Read article
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Infertility and Assisted reproductive technology (ART): An overview
Abstract: Numerous scientific advances in the last several years have increased our understanding of infertility and provided us with the means to improve both the success and safety of infertility treatments. In the past, infertility was defined as the inability to conceive after a year of regular, unprotected intercourse. When a couple's fertility fails, they get despondent and dissatisfied. They blame women, and sometimes each other, for infertility failure. People's attitudes …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 11, Issue 2, 2022 · pp. 11–24 Read article
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Tobacco Consequences Oral Health: A Review Article
Abstract: Use of tobacco is one of the most important risk factor for oral cancer, periodontal disease, mucosal lesions and dental implant failure. Tobacco smoking frequently increases the risk of oral cancer and quitting smoking results in reduced risk. In various forms of periodontal disease, the severity and prevalence is higher among smokers as compared to non-smokers. Risks of peri-implantitis and maintenance of oral hygiene are adversely affected by smoking. The …
Published in Research and Reviews: A Journal of Toxicology · Vol. 6, Issue 1, 2016 · pp. 28–40 Read article
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A Review Article of Murawwaquain (Cichorium intybus and Solanum nigrum) its Traditional Uses and Pharmacological Actions
Abstract: Murawwaquain is a herbal Unani compound preparation consists of Aab-e-KasniSabzMurawwaq (Cichorium intybus), Aab-e-Makoo Sabz Murawwaq (Solanum nigrum) in the form of tarviq-e-Adviyah. Its name is due to its form of tarviq-e-Adviya (Murawwaq). Chicory is recommended in the treatment of jaundice, spleen problems, gastrointestinal problems such as digestive difficulties, gastritis and lack of appetite, sinus problems, cuts and bruises. In Unani system of Medicine, Kasni (Chicory) is used as a hepatoprotective …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 6, Issue 2, 2019 · pp. 15–17 Read article
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Artificial Intelligence for Polymer and Nanocomposite Materials: Performance Prediction, Manufacturing Optimization, and Future Perspectives
Abstract: The exceptional mechanical properties, design flexibility, and lightweight nature of polymer composite and nanocomposite materials make them indispensable in a wide range of applications, including aerospace, automotive, construction, biomedical, and energy sectors. The optimization of the strength, durability, and manufacturing efficiency of polymer composite and nanocomposite materials is highly challenging because their performance depends on matrix composition, reinforcement type, fiber or nanoparticle distribution, interfacial interactions, processing conditions, and environmental factors. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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VolleyNexis AI: A Multimodal Artificial Intelligence Framework for Opponent Strategy Prediction, Tactical Intelligence, and Athlete Performance Optimization in Volleyball
Abstract: The rapid advancement of Artificial Intelligence (AI) has profoundly transformed sports analytics, enabling deeper insights, real-time data analysis, and enhanced performance predictions. Noticeable results have been seen by enabling automated analysis of complex gameplay patterns along with athlete performance. Volleyball is a dynamic and strategic sport, which requires continuous tactical adjustments and constant monitoring of the player’s performance. This paper presents VolleyNexis AI, which is a multimodal artificial intelligence framework …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 2, 2025 Read article
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Artificial Intelligence -Driven in Clinical Pharmacy Practice: Transforming Medication Management and Patient-Centred Care
Abstract: Artificial intelligence (AI) is transforming clinical pharmacy practice by enhancing the safety, accuracy, and efficiency of medication management while supporting evidence-based clinical decision-making. Recent advances in machine learning, deep learning, natural language processing, and predictive analytics have enabled the integration of AI into various aspects of pharmacy practice, including drug discovery, pharmacovigilance, clinical decision support, personalized medicine, medication adherence, and patient counselling. The objective of this review is to provide …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 3, 2026 Read article
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Intelligent Paradigms in Subsea Connectivity: A Comprehensive Review of Artificial Intelligence in Underwater Communications
Abstract: Underwater wireless communication (UWC) plays a critical role in ocean exploration, environmental monitoring, offshore energy operations, disaster management, and naval defense. However, the underwater environment presents significant communication challenges, including severe signal attenuation, multipath propagation, Doppler effects, limited bandwidth, high latency, and energy constraints. Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) have emerged as promising solutions to address these limitations and enhance the efficiency, reliability, and adaptability …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Artificial Intelligence in Trigonometry: Innovations, Applications, and Future Prospects
Abstract: Artificial Intelligence (AI) has transformed numerous scientific fields, yet its integration with classical mathematics such as trigonometry is still emerging. This paper explores how AI enhances trigonometric problem solving, learning, and real-world applications. We analyse AI-driven tools for teaching trigonometry, AI in geometric and spatial reasoning, usage in robotics and computer vision, and future directions for research. Key challenges, methodologies, and case studies are discussed to provide a comprehensive overview …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Artificial Intelligence in Healthcare for Implants and Tissue Regeneration: Advances, Challenges, and Future Directions
Abstract: Artificial intelligence (AI) has been a revolutionary influence in contemporary healthcare, especially in implant design, biomaterials research, and tissue regeneration. In regenerative medicine, AI facilitates predictive modeling, optimization, and decision-making via the analysis of intricate biological, material, and clinical information. This study analyzes current research on AI applications in implant technologies and tissue regeneration, specifically addressing scaffold engineering, biomaterial characterisation, stem cell and gene treatments, smart biomaterials, and implant planning. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Power Estimation Approach for Artix 7 FPGA using Machine Learning Technique
Abstract: This paper presents the power estimation approach using a suitable machine learning technique. Artix7 FPGA has been chosen as the target FPGA (Field Programmable Gate Arrays) platform for understanding the methodology of power estimation. There are various approaches of power estimation for FPGAs that have been given in the literature viz. probabilistic, statistical, and LUT- based, etc. In the past few years, the demand for hand-handled devices like smartphones, tabs, …
Published in Research & Reviews: A Journal of Embedded System & Applications Read article
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Artificial Neural Network Modelling to Optimize Micro-Drilling Parameters of ECDM of Developed Novel Zn/(Ag+Fe)-MMC
Abstract: Several engineering fields have increased their use of metal matrix composites (MMCs) in the past few years. Due to the increase in composites, the demand for accurate machining has also become important. Specifically, pertaining to biomaterial applications, accuracy factor with desired surface finish is critical. While the near-net shape manufacturing process has advanced, MMCs frequently require post-mould machining to achieve surface quality, and dimensional tolerances. In the present study, a …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 01–13 Read article
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Unveiling Fairness: A Quest for Ethical Artificial Intelligence and Bias Mitigation
Abstract: Artificial intelligence (AI) systems have become ubiquitous across areas like finance, healthcare, employment, and criminal justice. However, they suffer from issues of unfair bias, lack of transparency, and broad ethical implications impacting vulnerable societal groups disproportionately. This paper reviews key challenges around AI ethics and bias while proposing data-driven guidelines mitigating such algorithmic harms through rigorous statistical testing, predictive modeling ensembles adjusting distortion vectors and AI audits by domain experts …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 28–31 Read article