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44 articles for “Kesh”
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Mathematical Modeling Analysis of India's Accident &Use of Fly Ash and Polymers in Road Safety
Abstract: Accident predicting models (APMs) are exceptionally strong tools for adaptation and mitigation strategies because they have the ability to predict both the severity and frequency of crashes. Road accidents are a major problem all throughout the world, especially in developing countries. Understanding the key variables that contribute can assist in reducing the frequency of traffic collisions. This study also discovered recent developments on fly ash, green composites, other polymer materials …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 488–499 Read article
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A Study on Ekakushtha (Psoriasis) With Its Ayurvedic Management
Abstract: The skin, the delicate outer layer of vertebrates, often reflects internal imbalances and stress-related conditions within the body. In Ayurveda, the skin (Tvak) is considered a mirror of internal health, revealing various abnormalities or disorders. All skin diseases are collectively categorized under the term "Kushtha" in Ayurvedic texts. The ancient Acharyas explain that Kushtha involves the imbalance of all three doshas, with the specific type of Kushtha determined by the …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 1, 2025 Read article
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Career Counselling and Personality Assessment App
Abstract: From the early foundations of career counselling, the role of self-awareness in making informed career choices has been well recognized. Frank Parsons, widely regarded as the pioneer of career counselling, emphasized the necessity of understanding oneself to make wise career decisions. He proposed that this self-awareness should be systematically connected to job requirements and opportunities through logical reasoning and structured analysis. This approach aims to empower individuals to make well-informed …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 63–69 Read article
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Neuro-Rehabilitation Reimagined: A Cross-Cultural Paradigm Integrating Immunotherapeutics and Multidimensional Analytics in Pediatric Cerebral Palsy
Abstract: Researchers performed multidimensional data analysis on the clinical records of 1,586 cerebral palsy pediatric patients to investigate the rehabilitative benefits of immunotherapy and the advantages of blending Traditional Chinese Medicine with Western treatments. A multi-center, prospective cohort study established a standardized system for data gathering that included clinical baseline databases along with treatment protocols and follow-up information. Baseline data analysis showed substantial patient diversity across clinical types and TCM syndromes …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 2, 2025 · pp. 67–84 Read article
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Not Just Cleanliness: Exploring Common Misinterpretations of Obsessive-Compulsive Disorder
Abstract: Obsessive-Compulsive Disorder (OCD) is a complex psychiatric condition that is frequently misunderstood and misrepresented by the public, media, and even within some healthcare settings. One of the most pervasive and enduring myths surrounding obsessive-compulsive disorder (OCD) is its frequent and narrow overidentification with behaviors related solely to cleanliness, orderliness, or excessive tidiness. This misconception often overshadows the broader and more complex spectrum of symptoms experienced by individuals living with the …
Published in Research and Reviews: A Journal of Medicine · Vol. 15, Issue 2, 2025 · pp. 36–40 Read article
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Machine Learning-Based Disease Prediction: A Comparative Analysis for Diabetes, Brain Tumor, and Parkinson's Disease
Abstract: This paper presents a web-based disease prediction system that integrates machine learning and deep learning techniques to assist in the early detection of Parkinson’s Disease, Diabetes, and Brain Tumors. By utilizing clinical data and MRI images, the platform provides rapid and interpretable predictions to support proactive health management. Logistic Regression models are applied to classify structured datasets for predicting Parkinson’s disease and Diabetes, making use of their effectiveness in binary …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 44–54 Read article
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Ocular Films as a Drug Delivery System Against Fungal Infections: Current Insights and Future Directions
Abstract: Fungal infections of the eye, including keratitis, endophthalmitis, and blepharitis, represent a challenging class of ocular diseases due to their potential for vision loss and the limited efficacy of existing treatments. These infections are caused by a range of pathogenic fungi, such as Aspergillus, Candida, and Fusarium species, and often require long-term therapeutic intervention. Conventional topical antifungal therapies, such as eye drops and ointments, suffer from poor ocular bioavailability due …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 101–109 Read article
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Collaborative Care for Diabetic Retinopathy: Integrating Artificial Intelligence and Clinical Pharmacy Services - A Comprehensive Review
Abstract: Background: Diabetic retinopathy (DR) remains the leading cause of blindness among working-age adults globally, affecting approximately 103 million people worldwide. The integration of artificial intelligence (AI) technologies with clinical pharmacy services presents unprecedented opportunities to enhance screening, diagnosis, and management of DR through collaborative care models. Objective: This comprehensive review examines the current landscape of collaborative care approaches for diabetic retinopathy management, focusing on the integration of AI-powered diagnostic tools …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 118–128 Read article
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AI-Based Machine Learning Web Application Firewall (ML-WAF)
Abstract: This research investigates the use of deep learning techniques for the real-time detection of malicious activities in web traffic and proposes an intelligent, AI-driven Web Application Firewall (WAF) designed to provide automated and adaptive security. The system analyzes diverse components of HTTP requests, including request methods, URLs, headers, cookies, and payload content, to accurately identify and classify malicious behavior. The proposed model targets a wide range of common and critical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Effect of Polyherbal Formulation on Blood Biochemical Parameters in Post-Weaned Ghoongroo Piglets with Diarrhea in West Bengal
Abstract: Weaning condition is one of the critical and challenging phases of piglet where they get separated from mother and exposed to different environment. Sudden and abrupt changes in the total environment lead to the increase of physical stress that leads to various diseases, such as diarrhea, to the piglets. Use of phytogenic feed additives other than antibiotics is safe not only to the livestock, but also to the consumers and …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 15, Issue 1, 2026 · pp. 42–47 Read article
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Automating time based Household electricity Bill Calculations for Efficient Budgeting
Abstract: Recurrent household expenses must be precisely, in time, and openly tracked to make efficient household budgeting. Conventional monthly billing performance tends to delay the financial information, which results in the inefficient cash flow management and inability to modify short-term expenditure patterns. The proposed research is a system to automatize the calculation of household bills per week in order to deliver more frequent and practical insights into the household spending habits. …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 1, 2026 · pp. 1–16 Read article
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Strategies for the Development and Optimization of Orally Disintegrating Tablets (ODTs) to Improve Bioavailability and Patient Compliance
Abstract: Background: Pharmaceutical scientists have developed Orally Disintegrating Tablets (ODTs) to advance patient drug acceptance and biological system availability through simplified medi-cation delivery especially for children and senior citizens and people who cannot swallow pills regularly. The oral disintegrating tablets dissolve in the mouth within thirty seconds or less (USP 701) while needing no additional liquid thus making them suitable for both emergency treatments. Objective: The research examines ODT development strategies …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 2, 2026 · pp. 50–64 Read article
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Deep Reinforcement Learning-Based Intelligent Energy Management Strategy for Battery–Supercapacitor Hybrid Energy Storage Systems in Electric Vehicles
Abstract: As the number of EVs increases, smart solutions for energy management are needed that will optimize energy use, prolong battery life and boost vehicle performance. The application of conventional rule based and optimization-based Energy Management Strategies (EMS) for Battery–Supercapacitor Hybrid Energy Storage Systems (HESS) often leads to sub-optimal power management, supercapacitor mismatch and battery degradation when subjected to varying driving conditions. This study aims to design an intelligent energy management …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Empirical Mode Decomposition versus Wavelet filtering for Time Domain Electromagnetic Signals
Abstract: Time Domain Electromagnetic (TDEM) methods are used for exploration of deep seated mineral deposits by measuring sub-surface conductivity of the earth. The response of earth is measured by an induction coil. The signals acquired are contaminated by variety of noises. Signal filtering plays a major role in order to obtain deeper information regarding subsurface conductivities. Various methods based on conventional DSP filters, wavelets, etc. have been attempted. This paper explains …
Published in Current Trends in Signal Processing · Vol. 3, Issue 1, 2013 · pp. 8–14 Read article
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Spike Detection and Processing of TDEM Signals using Wavelet Transform
Abstract: This paper presents a new method for spike detection, parameterization and processing in ground based Time Domain Electromagnetic (TDEM) signals. Time Domain Electromagnetic methods are used for mineral exploration by sub-surface conductivity measurement of Earth. The Earth’s response measured using inductive sensors are contaminated by spikes in form of sferics and due to load and phase shift in power distribution lines. The spikes present in the measured signal can significantly …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 82–92 Read article
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Hybrid Two-Wheeler Vehicle
Abstract: In last few decades the development of hybrid electric two-wheelers is mainly focused on the reduction of on road emissions produced by these vehicles. As these vehicles have added cost and complexity hence resulted in the failure of these systems to meet consumer expectations. This report presents a comparative study of the energy economy and development of a hybrid electric two-wheeler vehicle so that the efficiency of small two-wheelers such …
Published in Journal of Automobile Engineering and Applications · Vol. 7, Issue 3, 2020 · pp. 40–44 Read article
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Effect of Steel Slag and Bagasse Ash on Strength of Concrete
Abstract: An experimental investigation was carried out to evaluate the strength properties of concrete. The concrete mix of M-50 grade was designed and produced by replacing steel slag partially with fine aggregate and bagasse ash partially with cement. The mix proportions were prepared with varying percentage of bagasse ash including one control mix of steel slag. Bagasse ash in concrete was replaced with 0, to 20% with an interval of 5% …
Published in Journal of Experimental & Applied Mechanics · Vol. 8, Issue 1, 2017 · pp. 1–10 Read article
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IOT-Driven Room Security: Face Detection and Pin Access Control
Abstract: In our ever-evolving digital world, ensuring the security of our personal spaces has become paramount. This research paper introduces a smart anti-theft system powered by the Internet of Things (IoT). It combines face recognition, PIN code access, and motion-triggered face verification to fortify room security. If an unauthorized person tries to enter, the system instantly alerts both the owner and authorized users, while automatically locking the room. The term "Internet …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 3, 2023 · pp. 12–17 Read article
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Channel Prediction and Estimation Based on Machine and Deep Learning Techniques: A Review
Abstract: Channel prediction estimation in the high- speed mobile environment is a hot issue for 3D massive multiple input multiple output (MIMO) millimeter-wave (mmWave) system. In this environment, the channel has fast time-varying and non-stationary characteristics. And its time-domain correlation coefficient is a time- varying parameter, which makes it difficult for traditional channel estimation methods to capture the channel variations over time and achieve ideal channel estimation performance. A known signal, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 13–17 Read article
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A Conceptual and Applied Study of Yojana Chatuska of Charak Samhita W.S.R to Atisthula Purusa
Abstract: The science of a holistic living is ayurveda. Ayurvedic science focuses on both therapeutic and preventive aspects. The principles of Ayurveda have significant value in modern era The vedic literature and samhitas are the original and most important sources of knowledge. Charak samhita is no exclusion for this. Charak samhita is divided into eight sthanas. Each sthana is very important in its place but Sutra sthana showing glimpse all over …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 10, Issue 1, 2023 · pp. 6–10 Read article