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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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An Integrated Application of Remote Sensing, GIS and VES for Artificial Recharging at Watershed from South Solapur Taluka, Solapur District, Maharashtra
Abstract: Over growing demand of water has led scientific community to plan augmentation of ground water by various methods. The objectives achieved in present study are to arrest run-off and silt flow, to facilitate infiltration of water. The study area considered is a small Micro Watershed from South Solapur District which is Drought prone zone. The study was an attempt to delineate the possible recharge zone for groundwater and also to …
Published in Journal of Geotechnical Engineering · Vol. 9, Issue 3, 2022 · pp. 1–18 Read article
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Site Suitability Analysis for Artificial Recharge of Groundwater using GIS and Remote Sensing Techniques: A Study of Mandya District, Karnataka, India
Abstract: The present work is conducted to identify the artificial recharge sites for recharging the groundwater level using GIS and Remote sensing techniques. The scarcity of ground water is keep on increasing day by day due to anthropogenic activities includes decrease in land cover and increase in land use, but the climatic conditions are also severely affected and results in decrease in rainfall and increase in land surface temperature. Most of …
Published in Journal of Water Resource Engineering and Management · Vol. 2, Issue 3, 2015 · pp. 10–22 Read article
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Groundwater Resources and its Development through Artificial Recharge in Mehsana District of Gujarat State, India
Abstract: Groundwater is one of the most valuable natural resources and supports human health, economic development and ecological diversity. Timely and reliable information on occurrence, movement and deterioration of groundwater is a pre-requisite for demanded water quantity with satisfying quality. Artificial groundwater recharge plays a vital role in sustainable management of groundwater resources. The study area has been facing severe water scarcity due to scanty precipitation and intensive agriculture during the …
Published in Journal of Water Resource Engineering and Management · Vol. 3, Issue 3, 2016 · pp. 1–10 Read article
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Study of Global Solar Radiation Estimation based on Artificial Neural Networks Techniques
Abstract: AbstractSolar Radiation data received by earth in the form of x-rays, UV-rays, infrared rays is a prominent and useful data as it gives the information about the amount of energy received from sun at the earth. Artificial Neural Network (ANN) is brain inspired technology which learns and performs in a way similar to the way our human brain performs. Sun’s energy is of utmost importance and is freely available in …
Published in Recent Trends in Electronics Communication Systems · Vol. 7, Issue 1, 2020 · pp. 26–31 Read article
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Artificial Neural Network Based SVC Switching At Distribution System for Minimal Injected Harmonics
Abstract: Electrical distribution system grieves from various problems like reactive power burden, unbalanced loading, voltage regulation and harmonic distortion. However DSTATCOMS are ideal solutions for such systems, they are not popular because of the cost and complexity of control involved. Phase wise balanced reactive power compensations are essential for fast changing loads needing dynamic power factor correcting devices leading to terminal voltage stabilization. Static Var Compensators (SVCs) remain ideal choice for …
Published in Trends in Electrical Engineering · Vol. 9, Issue 1, 2019 · pp. 41–47 Read article
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Bandwidth Extension of Speech Signal Artificially & Transmission & Coding for Wireless Communication
Abstract: AbstractIn today’s next generation wireless communication, decoded speech quality at recipient side initiate quiet and slim; mainly recognized to intrinsic band limitation (300-3400 Hz). so as to increase clearness and genuineness of improved speech signal. Narrowband speech coders be supposed to promote to wideband coders supports bandwidth of 50-7000Hz. extensive time duration has been left for advancement from narrowband to fully wideband well-suited systems. Many smart devices at the present …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 2, 2019 · pp. 111–116 Read article
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A Novel Approach of Tesseract-OCR Usage for Newspaper Article Images
Abstract: A novel approach for optical character recognition of newspaper article images (captured as smartphone camera images) is presented, with evaluation based on two sets of images; both captured using the same camera, under varying lighting conditions.Cite this ArticleChaitanya Tejaswi, Bhargav Goradiya, Ripal Patel. A Novel Approach of Tesseract-OCR Usage for Newspaper Article Images. Journal of Computer Technology & Applications. 2018; 9(3): 24–29p.
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 3, 2018 · pp. 24–29 Read article
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Applications of Artificial Intelligence in Agriculture
Abstract: Every day, farms produce thousands of information points on temperature, soil, usage of water, atmospheric phenomenon, etc. With the assistance of computer science and machine learning models, this data is leveraged in real-time for obtaining useful insights like choosing the correct time to plant seeds, determining the crop choices, hybrid seed choices etc.Keywords: Artificial intelligence, agriculture robots, agriculture, intelligent spraying, temperature, soil, water, machine learningCite this Article G. Ramachandran, T. …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 1, 2020 · pp. 1–3 Read article
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Knowledge Acquisition in Artificial Intelligence
Abstract: Abstract Artificial Intelligence has gained so much popularity and its vast variety of application is already being witnessed by us but some specific Artificial Intelligence system requires knowledge over a particular subject in detail which is called knowledge-based system. This knowledge-based system requires knowledge in a systematic way that requires structuring, organizing, and storing knowledge in a way such that machine can have an application such as an expert system …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 3, 2020 · pp. 20–33 Read article
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BREAKDOWN VOLTAGE TEST OF DIFFERENT SOLID INSULATING MATERIALS USING ARTIFICIAL NEURAL NETWORK MODEL
Abstract: In this paper we are presenting Artificial Neural Network (MFNN) model which has different possible inputs affecting the breakdown voltage that are working temperature, the insulating material thickness, dielectric strength of insulating material, volume resistivity of materials, dissipation factor, conductivity of materials, and the materials relative permittivity that also predicts the breakdown voltage as a function of all these inputs parameters. It is important to train the Artificial Neural Network …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 6, Issue 2, 2018 · pp. 22–29 Read article
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Power Estimation Approach for Artix 7 FPGA using Machine Learning Technique
Abstract: 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 · Vol. 9, Issue 1, 2021 · pp. 1–5 Read article
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Shashtika Shali Pinda Sweda (A Unique Bolus Massage): A Review Article
Abstract: Swedana (sudation), the process of therapeutic sweating is well explained in Ayurveda classical texts. Secondary to Snehana (oleation), it is considered as an important prerequisite to Panchakarma. Specific indications and contraindications should be strictly followed for the Swedana. Swedana can be broadly classified into Sagni Sweda (sweating is induced with the help of fire) and Niragni Sweda (sweating is induced without using fire). There are thirteen types of Sagni Sweda …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 8, Issue 2, 2019 · pp. 26–30 Read article
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Comparison of Under Nutrition Among 6–59 Month Children of Food Secure and Insecure Households in Artumafursi District, Oromiya Special Zone, Amahara Region, Ethiopia, 2016
Abstract: Background: Under nutrition remains one of the most common causes of morbidity and mortality among children under-five years of age throughout the world. Objective: This study was aimed at comparing the magnitude of under nutrition among children of 6–59 months of age of food secure and insecure households in Artumafursi district, South East Amarha, Ethiopia. Methods: Community-based comparative cross-sectional study was conducted among 1078 children from March to June 2016. …
Published in Research and Reviews: A Journal of Medicine · Vol. 8, Issue 2, 2018 · pp. 12–22 Read article
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Prevalence of Mucocutaneous Manifestation and Associated Factors Among Adult HIV Positive Patients Attending Art Clinic in Mekelle Zonal Hospital
Abstract: Mucocutaneous disorders are among the first recognized clinical manifestation of HIV/AIDS and they help as a visual marker in assessing the progression of HIV/AIDS. More than 90% of HIV-positive patients may develop mucocutaneous problems at one stage of the disease or the other with significant morbidity and mortality and the magnitude of mucocutaneous manifestation is not known in Mekelle. The objective of this study was to determine the magnitude and …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 4, Issue 2, 2015 · pp. 21–30 Read article
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An innovative antibiotic "Abaucin": Instigated by Artificial Intelligence
Abstract: Nosocomial Gram-negative pathogen, Acinetobacter baumannii repeatedly demonstrates multidrug resistance. Discovering novel antibiotics against A. baumannii has proven thought-provoking through conventional screening tactics. Providentially, machine learning approaches allow for the speedy exploration of chemical space, snowballing the probability of determining new antibacterial molecules. In the following research era, a neural network is accomplished with growth reserve dataset and accomplished in silico predictions for structurally unconventional molecules with commotion in divergence to …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 13, Issue 3, 2023 · pp. 29–33 Read article
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Bio-Inspired Polymer Composites for Artificial Cartilage Replacement
Abstract: The rising cases of osteoarthritis, traumatic injuries, and degenerative joint diseases are also putting pressure on the new material that is durable, biocompatible and mechanically resilient to act as artificial cartilage. The normal articular cartilage is composed of collagen fibers, protein glycids and water in the interstitium. These elements provide it with excellent load bearing quality, lubrication and wear resistance. Due to the limited self-repair capacity of cartilage and the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Role of Artificial Intelligence in Quantum Materials Research
Abstract: Quantum materials have emerged as a transformative class of advanced materials due to their extraordinary electronic, magnetic, optical, and topological properties governed by quantum mechanical phenomena. These materials are expected to revolutionize next-generation technologies such as quantum computing, spintronics, superconducting electronics, nanoelectronics, intelligent sensing systems, and energy-efficient devices. However, conventional methods for discovering and optimizing quantum materials are often expensive, time-consuming, and computationally intensive because of the enormous complexity of …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 2, 2026 · pp. 13–27 Read article
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Card Fraud Detection Using Artificial Neural Network and Multilayer Perception Algorithm
Abstract: Fraud has posed a significant challenge for merchants, especially in the online business sector, over the course of many years. This is primarily due to the advancements in technology that have made credit card transactions a common method of payment. Credit card fraud refers to the unauthorized use of a credit card by an individual for personal purposes, without the owner's consent and with no intention of paying for the …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 21–30 Read article
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Study of Blended Learning of Artificial Intelligence in Cybersecurity
Abstract: Nowadays there are huge applications of internet of things, and cyberattacks are causing concern all over world. To avoid cyberattacks, designing cybersecurity approach is today’s basic need. Artificial intelligence has appeared as a powerful tool in the domain of cybersecurity and can be tuned to deal with cybersecurity and cyberthreats. Cybersecurity is an incredibly growing field since the past decade, there are many applications based on cybersecurity, eventually threats are …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 1–6 Read article
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Classification of Fruits Based on Quality Using Artificial Intelligence
Abstract: The visual inspection method for fruit grading is prone to judgment distortion among different individuals. There is a demand for an automated fruit classification machine to replace labor-intensive processes with an intelligent system for fruit quality classification. This study proposes a practical real-time fruit quality classification system that classifies the fruit’s appearance in order to decrease human effort costs in the fruit industry. For the sorting and classification of fruits, …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 23–30 Read article