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56 articles for “human fitness”
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Unlocking The Secrets Of Asbab-E-Sitta Zaruriyya: Unani Medicine's Key To Human Fitness
Abstract: The Unani system of medicine, also known as Graeco-Arabic medicine, draws its roots from the teachings of renowned Greek physician Hippocrates and Roman physician Galen. Over time, it evolved into a comprehensive medical system during the medieval era under the guidance of Arabian and Persian physicians such as Rhazes (al Razi), Avicenna (Ibn-e-Sina), Al-Zahrawi, and Ibn Nafis. Often referred to as the “Father of Unani medicine”, Buqrat (Hippocrates) hailed from …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 12, Issue 3, 2023 · pp. 6–11 Read article
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Design and Development of Twin booster - A Sustainable Health Solution
Abstract: During the revolution in eco-friendly technologies, cycling has emerged as one of the most dependable and sustainable modes of transportation. Rising fuel prices, increasing traffic congestion, and the growing threat of global warming have challenged researchers and engineers to develop environmentally friendly alternatives for short-distance travel. Among the available solutions, bicycles remain one of the simplest, most affordable, and non-polluting transportation systems. In addition to mobility, bicycles have also gained …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 3, 2026 Read article
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TryOniverse: Digital Dressing Room
Abstract: The rapid advancement of technology has led to a significant surge in online shopping, commonly referred to as e-shopping, on a global scale. This evolution in the shopping landscape allows consumers to make purchases conveniently from anywhere and at any time. While the advantages of e-shopping are evident, a notable challenge arises in the form of limited opportunities for online shoppers to physically try on clothing items, presenting a major …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 3, 2023 · pp. 34–41 Read article
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Human Skin Abnormality Detection with Process Similarity Criteria Fit Machine Learning Method
Abstract: This method presents a machine learning method that satisfies the defined conditions for healthy waterside beach activities. The boundary conditions of the normal and abnormal radiation spaces were formulated. The objectives of using a Regression Polynomial with Process Similarity Criteria Fit for skin temperature prediction are justified by the analysis of the existing analytical and machine learning approaches. An algorithm for skin temperature prediction using the theories of similarity criteria …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 17–24 Read article
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Environmental Pollution and Health Concerns in India: Regulatory Measures and Public Activism
Abstract: Environmental pollution affects human health significantly and is a major global problem. This chapter goes into great length on the various types of environmental pollution that affect the air, water, and soil, along with their primary causes. By analyzing the many health problems associated with each type of pollution, it draws attention to the complex link that exists between pollutants and human health. Reproductive issues, cancer, neurological problems, cardiovascular diseases, …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 3, 2025 · pp. 12–17 Read article
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Assessment of Groundwater Quality Using Water Quality Index (WQI), Pollution Index of Groundwater (PIG), and GIS in Parts of Anantapur District, Andhra Pradesh, India
Abstract: The purpose of this study was to assess the potability of groundwater resources in some parts of the Anantapur district of the Indian state of Andhra Pradesh. The water quality index, a spatial evaluation of groundwater using a GIS-based interpolation method, and the polluting groundwater index are some of the methods used to analyze water quality and explain the water quality of the studied area. A total of 22 groundwater …
Published in Journal of Remote Sensing & GIS · Vol. 13, Issue 3, 2022 · pp. 1–14 Read article
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Invasive Fish Species in India: Challenges, Threats and Impacts
Abstract: There are 31 invasive alien fish species introduced in India for aquaculture purposes, as well as over 600 varieties of ornamental aquarium fishes. Invasions of exotic freshwater fishes have had a negative impact on fish biodiversity. The estimated annual average production of alien species fit for human consumption amounts to approximately 18.2 to 34.5 percent of the annual average production of marketable fish cultures. Many more changes are expected as …
Published in Research & Reviews : Journal of Ecology · Vol. 11, Issue 1, 2022 · pp. 7–14 Read article
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Renewable Immunity: A Support to Humanity
Abstract: The “survival to the fittest” paradigm is invariably weighted w.r.t. competitiveness. This fitness is therefore constantly interacting both with the living races, and the dynamic nature, more than living –albeit in a complex way. While the former appear to tame nature, the fact is that latter demonstrates the superiority from time to time, in which the former attempt to truce with. The latter quality is called immunity especially when it …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 4, Issue 3, 2014 · pp. 21–29 Read article
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Smart Fitness Assistance using AI
Abstract: In computer vision, human body pose estimation is the study that aims at predicting the poses of human body parts and joints. In this project, visual languages are built based on skeleton poses. We present a real-time body tracking pipeline that predicts body posture. Once the joints of the body have been localised to represent a specific part of the human body, we can use them for wider ranges of …
Published in Journal of Open Source Developments · Vol. 9, Issue 1, 2022 · pp. 11–16 Read article
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Signal Feature Extraction and Machine Learning Techniques for Human Activity Recognition
Abstract: Human Activity Recognition (HAR) has emerged as a critical field of study with diverse applications in healthcare, fitness tracking, smart homes, and human-computer interaction. The aim of this research is to create an efficient HAR system through advanced techniques characterized by signal feature extraction and machine learning algorithms. The MEMS sensors are used appropriately during data mining to extract time-domain, frequency-domain, and statistical features, which are subsequently passed to the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 24–41 Read article
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Street Foods: A Comparison of Regulations in India and Elsewhere
Abstract: Street foods are a significant contributor to food processing industries as they serve the ready to eat food of different varieties, tastes, flavors, functionalities and sensory characteristics. Since, street foods form the part of an unorganized sector involving a large number of manpower engaged in this business, this sector has high significance especially in the developing world including India. The quality of street foods especially related to food safety parameters, …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 12, Issue 2, 2024 · pp. 27–39 Read article
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An Abnormal Expression Detection System (AEDS) Using Deep Learning Algorithms
Abstract: In the last decade, many deep learning algorithms have achieved remarkable success and gained popularity in various computer vision tasks, including object detection, image recognition, and segmentation. This AEDS (Abnormal Expression Detection System)leverages the power of deep learning algorithms to detect abnormal facial expressions in real-time automatically. AEDS proposed two important models; those are Deep CNN and RNN. CNN is responsible for learning discriminative features from facial images and capturing …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 72–79 Read article
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In Silico Induced-Fit Molecular Docking and Pharmacokinetic Investigations of Pentacyclic Compounds as Promising Inhibitors of Cyclooxygenase-2 (COX-2) and Lipoxygenase (LOX)
Abstract: The current search involves the discovery of cyclooxygenase-2 (COX-2) (PDB ID: 3LN1) and lipoxygenase (LOX) (PDB ID: 1N8Q) inhibitory potentials of some pentacyclic macromolecules by employing the Maestro 9.1 software where Glide module was utilized for the induced-fit docking (IFD). In addition to it, the critical pharmacokinetic aspects such as QPPMDCK, QPlogPo/w, % human oral absorption, QPPCaco, and QPlogS were estimated. The study fruitfully opened the therapeutic pharmacodynamic perspectives and …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 5, Issue 2, 2018 · pp. 13–17 Read article
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Mitigation of Location-based Attacks for Increased User Privacy
Abstract: Designing an effective method to mitigate location-based attacks is a pressing imperative in the realm of cybersecurity. As our world becomes increasingly interconnected through the Internet of Things and location-aware services, the risks associated with the misuse of location data continue to escalate. Location-based attacks encompass a spectrum of threats, from geolocation spoofing and eavesdropping to geo-tagging abuse, potentially leading to severe privacy invasions and security breaches. This abstract provides …
Published in International Journal of Mobile Computing Technology · Vol. 1, Issue 2, 2023 · pp. 1–5 Read article
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Electronics and Communication Design of an AI-Powered Smart Chair for Real-Time Multilingual Interaction
Abstract: Revolutionizing the passive listening experience, a smart chair designed for presentation attendees goes far beyond mere cushioning, dynamically adapting to individual posture and offering ergonomic support to combat fatigue during lengthy sessions. Equipped with integrated sensors, these intelligent seats can subtly prompt listeners to adjust their position for optimal comfort and focus, sometimes even providing gentle haptic feedback for key takeaways or to signal important transitions in the presentation. Furthermore, …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 16–29 Read article
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Role of Artificial Intelligence in Structural Health Monitoring-A Brief Evaluation
Abstract: Artificial intelligence (AI) refers to the capacity of a machine or a computer to ‘think’ or reason in the way a human would, utilizing experience, learned facts, and flexible rules to solve problems that may not fit the standard outlines for a normal algorithm. From this follows the utilization of AI in various sectors, such as the information technology (IT) industry, media, healthcare and medicine, logistics, environmental sustainability, finance, business, …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 34–39 Read article
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Utilizing bioinformatics to identify human diseases
Abstract: Human sickness is an alteration to a person's normal state that interferes with or changes vital functioning. Before discussing human sickness, it is important to understand what is meant by the phrases “health,” “physical fitness,” “illness,” and “disease.” Theoretically, health may be described in terms of specific measured values; for instance, a person with normal body temperature, pulse and breathing rates, blood pressure, height, and weight, as well as sharpness …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 9, Issue 2, 2022 · pp. 28–30 Read article
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QSAR Studies of 3-(4-(3-(Substitutedphenyl) Acryloyl) Phenyl)-2-Substituted phenyl/Phenylthiazolidin-4-ones for Anticancer Activity
Abstract: Both, Chalcone and 4-thiazolidinone, are therapeutically significant organic moieties with anticancer activities. QSAR (Quantitative structure–activity relationship) studies of ten synthesized chalcone-thiazolidinone hybrids have been described for anticancer activity against three cancer cell lines: A-549 (Human lung adenocarcinoma), U-87 MG (Human glioblastoma cancer cells) and COLO-205 (Human colon cancer cells). The developed linear QSAR models have significant statistical quality showing good fitting ability and robustness. The Q2 and R2 values of …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 3, Issue 3, 2016 · pp. 16–22 Read article
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Artificial Intelligence for Automatic Load Management
Abstract: Demand-side management (DSM) means the load or consumer side management of electric energy for the optimum efficiency of the power system. DSM helps the electric utility by satisfying the requirements of a larger number of consumers with the existing generation capability and it also decreases the requirement for new generation capacity. Demand side management programs can be of great use to the electrical utilities as they eradicate the need to …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 3, 2021 · pp. 1–9 Read article
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Captive Energy Generation by Using Gym Equipment
Abstract: This project aims to create a sustainable energy source by converting exercise equipment into devices capable of generating electrical power. Traditionally, the mechanical energy produced during workouts is wasted as it dissipates within exercise machines. This project aims to capture and convert that otherwise unused energy into usable electricity. By integrating an alternator-based system into fitness equipment, the mechanical motion generated by users during exercise can be transformed into electrical …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 3, 2025 · pp. 21–26 Read article