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101 articles for “Forest change”
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Advance in Spatial Statistics for Environmental Data Analysis
Abstract: Recent advancements in spatial statistics have significantly enhanced the analysis of environmental data, addressing complex spatial dependencies and offering robust methodologies for environmental monitoring, modeling, and decision-making. This abstract highlights key developments in the field, emphasizing their applications and impact. Geostatistical Methods, Improved geostatistical techniques, such as kriging and co-kriging, provide more accurate predictions of environmental variables by incorporating spatial correlation structures. Advanced kriging variants, including Bayesian kriging and machine …
Published in Research & Reviews : Journal of Statistics · Vol. 12, Issue 3, 2023 · pp. 35–39 Read article
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Exploring Moth Diversity in the Ecosystem of Mangalore University Campus, Karnataka
Abstract: The moth is one of the genera of insects of the order Lepidoptera, where butterflies share the same genus. They have nocturnal habits and a high attraction to light. Moths have various sizes, shapes, and colors, with many having duller colors. A study was conducted on the diversity of moth species in Mangalore University campus, Mangalore, Karnataka, for eight months (August 2006 to March 2007). We recorded 39 moths belonging …
Published in International Journal of Insects · Vol. 1, Issue 1, 2024 · pp. 22–29 Read article
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Liquid Fertilizer from Food Waste
Abstract: Food waste primarily includes a smart potential if it's processed into organic liquid plant food rather throws away. the present analysis study deals with conversion of garbage generated from restaurants, wedding halls and hotels into organic liquid plant food through anaerobic method within the Cherlapally Industrial space for up service level benchmarks as thought-about by the Ministry of atmosphere and Forest. The garbage was processed in a very closed instrumentality …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 8, Issue 1, 2019 · pp. 5–8 Read article
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Comparative Analysis of a Lie Detector using Support Vector Machine, Naive Bayes, and Random Forest Algorithm with Speech to Text Conversion
Abstract: Lie detection, additionally known as deception detection, uses questioning techniques to determine truth and falsehood in response. Physiological responses like vital sign, blood pressure, heartbeat, and respiratory rate are used to discriminate between truth and lie. Once we lie, our blood pressure goes up, our heart beats quicker, we have a tendency to breathe faster (and our breathing slows once the lie has been told), and changes occur in our …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 1, 2021 · pp. 13–18 Read article
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A Machine Learning Based Artificial Intelligence Model for Detecting Heart Illness
Abstract: This study centers around the improvement of an artificial intelligence- and computerized reasoning-based heart sickness determination framework. We exhibit how AI can help with foreseeing whether an individual will get cardiovascular infection. In this review, a Python-based application for medical care research is created since it is more reliable and helps track and lay out many kinds of well-being observing applications. We show information handling, which incorporates working with all …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 50–58 Read article
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Vegetation Studies Using VIs, TIR, LULC and OCCs: Review
Abstract: Utilizing remote sensing images for vegetation cover mapping can prove a major role in finding an economical mean to analyze and observe vegetation cover changes over a large area. Easy algorithms in form of vegetation indices can be helpful for impactful evaluations of same. SAVI index can help for estimating accurately biomass aboveground in dry forest areas. Thermal infrared remote sensing data can be further utilized to retrieve biophysical & …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 10, Issue 2, 2021 · pp. 32–36 Read article
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Alzheimer’s Disease Detection Using ML Algorithm
Abstract: A degenerative neurological state of affairs, Alzheimer's disease (AD) gradually impairs cognitive and functional capacities, especially in people over 65. Early AD detection is crucial for efficient management and treatment prep. This study delves into novel approaches for the early detection of AD using non-invasive methods. We've implemented a blend of neuroimaging data analysis and machine learning algorithms to pinpoint markers indicative of the disease during its initial phases. Our …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 53–57 Read article
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Land Use/Land Cover Change Detection Analysis Using Supervised Classification, Remote Sensing and GIS In Mandavi River Basin, YSR Kadapa District, Andhra Pradesh, India
Abstract: Assessment, development, and management of watershed strategy require exact calculations reports of present and past land use/cover data and its change determine the ecological and hydrological process taking place in a watershed. In this study, we have to adopt supervised classification with maximum likelihood algorithm in ERDAS imagine to notice land use/cover changes (LU/LCC) analyzed in Mandavi river basin, Kadapa district, Andhra Pradesh, India using multispectral satellite data gained from …
Published in Journal of Remote Sensing & GIS · Vol. 9, Issue 3, 2018 · pp. 46–54 Read article
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Freshwater Resources in Delhi: A Decadal Analysis of Land Use Changes
Abstract: The escalating global concern over the pollution of freshwater resources, driven by the amplifying stress and scarcity of freshwater, underscores the significance of this study. The investigation examined the alterations in land use and land cover (LULC) in Delhi, concurrently assessing the coliform count in water sources designated for drinking and other purposes. LANDSAT 7 satellite imagery scrutinized the LULC changes in Delhi over a decade (2011 to 2021) to …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 1, 2024 · pp. 13–22 Read article
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Greenhouse Gas Emissions, Land Use, and Sustainable Natural Resource Management: A Review
Abstract: Greenhouse gas (GHG) emissions, changes in land use, and the exploitation of natural resources are significant obstacles to achieving global sustainable development goals. These interconnected challenges have far-reaching implications for environmental stability, economic growth, and societal well-being.Urbanization, deforestation, and agriculture are examples of land use activities that significantly increase greenhouse gas emissions. Agricultural activities release methane and nitrous oxide, while deforestation leads to carbon dioxide emissions by reducing forest cover, …
Published in International Journal of Sustainability · Vol. 2, Issue 1, 2025 · pp. 7–11 Read article
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Trend analysis of Normalized Difference Vegetation Index using Landsat Satellite data: Study from in and Gondar town, North West Ethiopia
Abstract: Abstract This current research study presents the change detection method for the study of Satellite image supported on Normalized Difference Vegetation Index (NDVI). NDVI utilizes the Multi-Spectral remote sensing data method to determine Vegetation Index, land cover classification, vegetation, water bodies, bush land, agricultural area, thick forest and thin forest with few bands grouping of the remote sensed data. Land resources are easily understood by calculating their Normalized Difference Vegetation …
Published in Journal of Control & Instrumentation · Vol. 10, Issue 3, 2019 · pp. 25–33 Read article
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Hypertuning in Random Forest Model
Abstract: Regarding the part of the monetary climate and the entirety of data made each second, the conclusionmaking handle is switching and obtaining to be data-driven, particularly controlling the trade procedures set up in organizing to keep the competitive benefit. Be that because it may, without innovation, data examination would not be feasible, the cause why machine learning is seen as a trouble for advancement trades, particularly due to its ability …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 3, 2022 · pp. 1–11 Read article
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Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Credit Card Fraud Detection Using Machine Learning Techniques
Abstract: Credit card fraud has become a significant concern in today's digital economy, with billions of dollars being lost annually to fraudulent transactions. Conventional rule-based approaches frequently prove inadequate in addressing the constantly changing strategies employed by fraudsters. Machine learning methods have emerged as robust solutions for detecting credit card fraud, presenting the capability to accurately identify fraudulent transactions promptly. In this study, we investigate the efficiency of three widely used …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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India's Vanishing Marine Wealth: Ecosystems Under Threat from Development
Abstract: The Indian Ocean is one of the world’s most important oceans, covering about a fifth of the globe’s total ocean area. It is also home to some of the world’s most valuable fisheries, as well as a wealth of other marine life. However, this development is coming at the cost of the delicate marine environment. Numerous studies have shown that the increased shipping traffic, coastal construction, and pollution are harming …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 13, Issue 3, 2023 · pp. 23–29 Read article
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Landuse and Landcover analysis using Remote Sensing and GIS: A case study in parts of Kadapa District, Andhra Pradesh, India.
Abstract: Digital change detection techniques by using multi-temporal satellite imagery helps in understanding landscape dynamics. The present study illustrates the spatio-temporal dynamics ofLand use/cover of around Chennur, Kadapa District, Andhra Pradesh India. Landsat satellite imageries of two different time periods, i.e., Landsat Thematic Mapper (TM) were acquired by earth explorer site and quantify the changes in the study area 2005-2006 to 20015-16 over a period of 10 years. Supervised classification methodology …
Published in Journal of Remote Sensing & GIS · Vol. 9, Issue 3, 2018 · pp. 1–7 Read article
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Sacred Groves—Repository of Medicinal Plant Resources: A Review
Abstract: Sacred groves are traditionally protected forest or forest patches, with the rich repository of diverse flora with the medicinal plants. Ethno-medicinal knowledge on sacred grove plants have enormous prospects either in the form of natural resources and bio-prospecting. Now a days these small patches suffers from multiple disturbances grazing, encroachment, changing social perspective and hence medicinal plant resources. This study reviews medicinal plant resources in the sacred groves on distribution …
Published in Research & Reviews : Journal of Ecology · Vol. 8, Issue 1, 2019 · pp. 12–20 Read article
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Anthropogenic Intensification and Emerging Air Pollution Patterns across the Western Himalaya: Multi-Year Spatiotemporal Case Study
Abstract: Anthropogenic intensification is profoundly impacting air quality within vulnerable mountain ecosystems, yet the availability of long-term, high-resolution data from the Western Himalaya is strikingly limited. This study provides a detailed multi-year (2020-2024) spatiotemporal analysis of particulate matter (PM10 and PM2.5), nitrogen oxides (NOₓ), ammonia (NH3), and ozone (O3) concentrations across contrasting anthropogenic settings—specifically, tourist influx zones such as Dharamshala and industrial hotspots like Damtal in Himachal Pradesh, India. Key pollutants …
Published in International Journal of Atmosphere · Vol. 3, Issue 2, 2026 · pp. 7–25 Read article
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REBONDING FOREST FIBRE TO SUSTAINABLE DEPLOYMENT
Abstract: The significance of wood in artistic manipulations is unraveled to any other material used in engineering, commercial or in infrastructural uses. All this is at the cost of eco-sustainability, not directly because manufacturing remains ecofriendly, but indirectly; because forests are expended in realization of this raw material. The author pre-supposes that with the mere thought of cutting a tree, environmental degradation has already begun [1]. As a preventive measure, least …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 4, Issue 3, 2014 · pp. 11–24 Read article
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Landuse Change Pattern Analysis for Agriculture, A case study of Sagar District, MP. India
Abstract: Landuse play a role in the determination of main’s social, economic, and cultural progress. In general, the idea of land use is connected to the local physical environment. Landuse reflect a complex correlation between natural historical and socio-economic factors. Besides, size of holding and caste structure determine the changing of land use on the agricultural crops. Such as undulating terrain and hilly poor land determine the process of farming and …
Published in Journal of Remote Sensing & GIS · Vol. 13, Issue 3, 2022 · pp. 29–39 Read article