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1974 articles for “Approaches” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Relationship Between Mental Health, Competitive Aggression and Anger Rumination with Regard to the Role of Mental Health of Martial Arts Athletes in Gilan Province
Abstract: Due to the phenomenon of championship in sports, athletes are always very thirsty to achieve the championship and go on the podium, and this factor can cause negative behaviors by athletes, one of which is competitive aggression. Therefore, the main purpose of this study is to investigate the relationship between mental health, competitive aggression and anger rumination with regard to the role of mental health of martial artists in Gilan …
Published in Recent Trends in Sports · Vol. 1, Issue 1, 2024 · pp. 1–10 Read article
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Detecting Fake Accounts on Social Media Using Machine Learning
Abstract: The growing frequency of fake accounts on social media platforms underscores the critical necessity for effective detection methods. In response to this challenge, our study leverages state-of-the-art machine learning techniques to identify and counter deceptive entities effectively. By conducting a thorough analysis of social media data, our approach unveils intricate patterns indicative of fraudulent accounts, enabling proactive measures against them. Through the application of advanced algorithms, we present a comprehensive …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 2, 2024 · pp. 21–32 Read article
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Identification of Papaya Fruit Ripening Process Using AI
Abstract: Identifying the ripening process of papaya fruit using artificial intelligence involves employing machine learning algorithms to analyze various features such as color changes, texture alterations and chemical compositions. This model is capable of analyzing visual cues to determine the stage of ripeness. The dataset compares images of papaya at various ripening stages, and our AI model demonstrated high accuracy in classifying these stages. Employing machine learning algorithms and image processing …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 2, 2024 · pp. 23–30 Read article
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User Centric Design: A Framework for Transforming Design Studios into Smart Workspaces
Abstract: In contemporary design studios, the integration of smart technologies has become imperative to enhance productivity, collaboration, and creativity among designers. This research paper presents a comprehensive framework for the transformation of conventional design studios into smart workspaces, focusing on user-centric design principles. The concept of User-Centric Design emphasizes its departure from traditional design approaches by placing the user experience at the forefront of the creative process. It highlights the increasing …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 2, 2023 · pp. 1–13 Read article
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A Review on Anesthetic Drug Discovery with Computer Aided Drug Design
Abstract: In contemporary medicine, anaesthesia is essential for enabling surgical procedures, pain control, and patient comfort. Finding and creating safe and efficient anaesthetics is crucial to enhancing patient outcomes and developing the medical field. In this review, we provide a comprehensive overview of anesthetic drug discovery with a focus on the integration of computer-aided drug design (CADD) methodologies. Beginning with an exploration of anesthesia mechanisms and targets, we delve into the …
Published in International Journal of Antibiotics Read article
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Intelligent IoT Enabled Waste Segregation and Monitoring System
Abstract: One of the significant issues contributing to environmental hazards is the ongoing accumulation of waste. As the global population continues to grow, waste is being discarded in single locations, mixing different types of refuse. In India, the total generated waste is projected to exceed 150,000 Mt/day. Waste is often scattered along roadsides, and the personnel responsible for management do not collect it regularly. This automated waste segregation bin project aims …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 2, 2024 · pp. 33–39 Read article
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NanoBioAI: Utilizing Python to Investigate Magnetocaloric Effects in Magnetotactic Bacteria and Optimized Conditions for Thermotherapy
Abstract: The study presented in the research work represents a multidisciplinary approach, integrating biology, nanotechnology, and artificial intelligence. It specifically highlights the use of python computational power to investigate magnetocaloric effect (MCE) in magnetotactic bacteria (MTB), a phenomenon yet to be fully understood, characterized by reversible heating and cooling effects induced by magnetic fields. MTB are unique in that they contain embedded magnetic nanoparticles ranging from 10–100 nm in diameters. These …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 122–131 Read article
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Ligand Based Drug Virtual Screening in Computer Aided Drug Design: A Review
Abstract: Computer-Aided Drug Design (CADD) has revolutionized the drug discovery process by providing efficient and cost-effective methods for identifying potential drug candidates. Within CADD, ligandbased virtual screening techniques play a pivotal role in the early stages of drug discovery. This review provides a comprehensive overview of ligand-based drug virtual screening, focusing on its principles, applications, challenges, and future directions. Fundamentals of ligand-based virtual screening, including pharmacophore-based methods, similarity searching, and machine …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Planktonic Organisms as Bio-indicators of Pollution in Aquatic Environments
Abstract: Planktonic organisms play a pivotal role in aquatic ecosystems, serving as vital bio indicators of pollution levels. This review offers a thorough exploration of their significance in assessing environmental health in aquatic environments. We delve into the diverse array of planktonic taxa, encompassing phytoplankton, zooplankton, and bacterioplankton, and examine their responses to various pollutants such as nutrient enrichment, chemical contaminants, and microplastics. These organisms exhibit remarkable sensitivity to environmental changes, …
Published in International Journal of Marine Life · Vol. 1, Issue 2, 2024 · pp. 21–26 Read article
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A review on the Enhancing Heat Exchanger Efficiency with CuO/Water Nanofluid in a Shell and Helical Coil System
Abstract: Over the years, there has been a lot of focus on improving heat transmission by utilizing various approaches in an effort to make heat exchangers smaller and less expensive. The following methods have been found to be the most successful in increasing heat transfer rate in heat exchangers: Nano-Fluids, first (3) Rubbing heat exchanger surfaces rough. (2) Inserting fluid tabulators. However, a combination of all three approaches or any two …
Published in Trends in Mechanical Engineering & Technology Read article
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Automated Plant Disease Detection and Treatment Advisor Using Artificial Intelligence
Abstract: Automated plant disease detection and treatment advisors using artificial intelligence represent a significant advancement in modern agriculture. The identification of plant leaf diseases is essential to maintaining food security and agricultural output. Machine learning models, particularly deep learning algorithms like convolutional neural networks (CNNs), are trained on labeled datasets containing images of healthy and diseased plants. These models learn to classify images into different disease categories with high accuracy. Convolutional …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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Effectiveness of Structured Teaching on Immunization Knowledge and Attitude Among Mothers of Children Under-5 years of Age at Bal Mahila Chikitsalaya, Lucknow
Abstract: This section offers a thorough overview of the study's background, explaining the significance of vaccination, the variables affecting vaccination coverage, the role mothers play in the decision-making process regarding vaccinations, and the necessity of focused interventions to improve immunization uptake among children under five. As a fundamental component of preventive healthcare, immunization shields both individuals and communities from a variety of infectious diseases. In order to comprehensively assess changes in …
Published in International Journal of Children · Vol. 1, Issue 1, 2024 · pp. 5–22 Read article
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Development of Formulation for Dry Powder Inhalation of Amino Acids Aimed at Smoking Cessation: A Biomedical Perspective
Abstract: This study aims to develop an effective and compliant therapy targeting the lungs through the strategic utilization of amino acids, which play a crucial role in modulating mood and behavior during activities like smoking. L-Tryptophan and L-Tyrosine were finely micronized within the 2–4 µm range, with lactose serving as a carrier, to create a dry powder inhalation formulation. The combination of these amino acids is anticipated to elicit a synergistic …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 2, 2024 · pp. 18–36 Read article
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Crop Yield Prediction Using Machine Learning Algorithm Based on Climate Variables
Abstract: India's economy is based primarily on agriculture, as over 50% of the country's population depends on it for their livelihood. The long-term viability of agriculture is seriously threatened by variations in the weather, climate, and other environmental factors. Because machine learning provides tools for decision assistance in agricultural yield prediction, including guidance on which crops to plant and when to plant them during the growing season, it is essential to …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 49–52 Read article
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X-Ray Insight: Deep Learning-Enhanced Detection and Grading of Knee Osteoarthritis
Abstract: Osteoarthritis (OA) is the most prevalent form of arthritis affecting the knee. It is a degenerative joint disease characterized by the gradual deterioration of cartilage, typically impacting individuals aged 50 and above, although it can also occur in younger people. The condition progresses slowly, with symptoms intensifying over time, leading to significant pain and discomfort. Early diagnosis and intervention can significantly alleviate pain and enhance the quality of life for …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 2, 2024 · pp. 1–6 Read article
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Role of Modified Egg Membrane in Donor Site Wound Healing
Abstract: An ulcer is essentially a small gap or tear in the skin that struggles to heal properly, persisting either suddenly or over an extended period. These persistent ulcers can present significant challenges for individuals, prolonging their discomfort and recovery. Medical professionals employ various techniques to aid in healing, including using skin grafts from different body parts, specialized coverings, or temporary solutions to protect the wound.In our research, we explored an …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 2, 2024 · pp. 16–20 Read article
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Ghummakad—A Comfort Tourist Guider
Abstract: In the past few years, tourism has developed into a critical service industry. The total contribution of tourism to the GDP is around 30%. Local journeys end has to provide only their best in order to satisfy tourists. In that respect, tourist guides represent a significant part of the tourism industry, and in today’s tech era, everyone wants everything on their phone or their suitable devices. Our project is approaching …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 2, 2024 · pp. 7–14 Read article
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Drone Swarms: An overview and working in network control systems
Abstract: The review of multi-agent systems, including drone swarms, has gained momentum due to their ability to exhibit cooperative behavior. Automating the control of a drone swarm poses substantial challenges due to the diverse wireless, networking, and environmental constraints each drone faces. To address these challenges, we treat drone swarms as Networked Control Systems (NCS), integrating the overall system control within a wireless communication network. This approach relies on a strong …
Published in International Journal on Drones · Vol. 1, Issue 1, 2025 · pp. 13–35 Read article
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Harmony Through Ayurveda: A Holistic Guide to Optimal Health Through Diet and Lifestyle
Abstract: Ayurveda is an eternal system of medicine that delineates conventional methods to treat the diseased conditions and encourage perseverance of optimal health, thus maintaining a healthy life. This objective of health maintenance can be achieved with the help of affirmative food and lifestyle alterations in harmony with the quotidian cycle and respective seasons. Ahara and vihara have pivotal role in governing the healthy state of body and mind. In the …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2024 · pp. 54–60 Read article
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Maintain Attendance Using Image Processing Technique
Abstract: Attendance tracking stands as a pivotal pillar in organizational management, bearing significant implications for operational efficiency, resource allocation, and fostering accountability. Traditional methodologies for attendance maintenance frequently exhibit deficiencies in terms of precision, security, and scalability, thus necessitating the exploration of avant-garde solutions. This research endeavors to introduce a pioneering approach to attendance upkeep, harnessing the prowess of image processing techniques synergized with artificial intelligence (AI) algorithms to surmount prevailing …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 2, 2024 · pp. 29–34 Read article