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11 articles for “Sal forest”
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Litterfall Dynamics in different Forest Types of Kumaun Himalaya
Abstract: Litterfall and forest floor data was collected seasonally from 11 different forest types including degraded forests and 3 plantations in Kumaun Himalaya. Litterfall in different forest types varied from 1.25 t/ha for Degraded sal forest to 6.97 t/ha for High altitude oak forest. Among plantations poplar plantation showed highest litter fall (7.24 t ha-1). Most of the forest types were observed with maximum litterfall during summer season. Temperate Conifer forest …
Published in Research & Reviews : Journal of Ecology · Vol. 9, Issue 1, 2020 · pp. 23–30 Read article
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Phytosociological Analysis in Kumaun Himalaya using Satellite Remote Sensing with Special Reference to Woody Vegetation
Abstract: AbstractThe present study deals with phytosociological analysis of woody vegetation (tree layer and shrub layer) of different forest types occurring in Kumaun Himalaya, Uttarakhand. A total 12 forest types were mapped using multiseason satellite data of IRS-P6, AWiFS sensor. Sampling was carried out in all the forest types to characterize the structure of forests in terms of abundance, density and dominance at different sites. The field data from different sites …
Published in Research & Reviews : Journal of Ecology · Vol. 3, Issue 1, 2014 · pp. 20–30 Read article
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Intelligent Optimization of Drilling Parameters in Polymer Composites using Machine Learning and Metaheuristic Techniques
Abstract: The study tests different ways to use ML and metaheuristic algorithms to determine the best drilling parameters for polymer matrix composites. The research uses a composite matrix made from 55.25% vinyl ester, 44.0% Nickel–Phosphorous coated glass fiber and 0.75% Al₂O₃ nanowires which are tested for tensile strength (64.57 MPa), flexural strength (85.86 MPa) and impact strength (71.79 kJ/m²). By applying a Taguchi orthogonal array, it is observed that a slower …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1795–1810 Read article
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Isolation and Characterization of Gelatinase Producing Halophilic Bacteria from the Sediments of Pichavaram Mangrove Forest, Tamil Nadu State, South India
Abstract: Microorganisms are the most important sources for production of enzyme especially bacteria which have the ability to synthesis gelatinase enzyme has been screened and isolated from Pichavaram mangrove forest soil. This enzyme is capable of degrading gelatin and collagen proteins. The organism was isolated from the mangrove sediments; the genomic DNA was extracted, amplified by 785F and 907R primers, sequenced and identified. Gelatinase producing organism was identified as Bacillus thuringiensis. …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 9, Issue 3, 2019 · pp. 63–70 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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Comparative Study of Classifiers for Monitoring Fake Reviews of Online Products Using Opinion Mining
Abstract: With the increasing popularity of e-commerce, online dealers seek reviews or opinions from customers regarding the quality and service of their sold products. As the number of customer reviews grows rapidly, potential buyers face difficulties in reading and assessing them to make informed decisions. Unfortunately, some review websites include fake positive reviews, either added by the product companies themselves or submitted by users who have not made a purchase. This …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 52–59 Read article
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Dynamic Performance Enhancement of Polymer Composites through Metaheuristic machinining optimization
Abstract: This work aims to provide an optimization of meta-heuristic algorithms in order to improve the dynamic behavior of composite materials utilized in various practical engineering tasks. Based on the Comprehensive literature review it has been observed that composite sandwich panels with PVC foam cores accomplished mechanical characteristics superior than those ones that were produced on PU foam core mainly in flexural, compression, and impact tests Thus the study establishes the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 114–129 Read article
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Sentiment Analysis of E-Commerce Reviews using Machine Learning
Abstract: In e-commerce, sentiment pertains to the emotional responses, opinions, or perceptions that customers have about their online shopping experiences, including factors like product quality, service, and various processes such as ordering, shipping, and customer support. Sentiment analysis, which involves machine learning techniques, plays a crucial role in deciphering these sentiments. By using sentiment analysis, companies can obtain valuable insights from customer feedback from diverse online sources, including social media, surveys, …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 25–37 Read article
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Integrative Machine Learning Approaches for Predicting the Rheological Behaviour of Soft Magnetorheological Elastomers
Abstract: Magnetorheological Elastomers (MREs) are advanced composite materials known for their ability to alter mechanical properties under external magnetic fields, making them highly valuable in adaptive damping systems, vibration control, and smart devices. The accurate prediction of rheological behavior in soft MREs remains a significant challenge due to the complex interplay between material composition and magnetic fields. To address this challenge, this study employs a multi-pronged approach that integrates traditional material …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1083–1096 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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Excoecaria agallocha Extract from Leaves Encounters Antifungal, Antibacterial, and Cytotoxic Activity – In Vitro Studies
Abstract: Mangroves contain a wide range of bioactive substances, certain of and these have been used as solutions for a variation of conditions for thousands of years. Excoecaria agallocha leaf application components have been extracted in the presence of organic solvents along with water-based with a Soxhlet apparatus and antibacterial research properties employing diffusion agar well assays towards nine different kinds of culture infectious agents, six clinical trials isolated compounds, as …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 2, 2025 · pp. 1–7 Read article