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450 articles for “forests”
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Optimizing Sentiment Analysis with Naïve Bayes and Random Forest Techniques: A Result-based Approach
Abstract: In the increased digitalization, the sentiment analysis and classification have evolved as an eminent area to determine the polarity of positive, negative, and neutral reviews of the customers and users on products. It is an integral application field that employs supervised learning, Machine Learning, and Natural Language Processing concepts. The proposed Semantic Analysis and Classification using Naive Bayes and Random Forest system accomplishes the sentiment polarity by classifying the user …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 46–57 Read article
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Investigations on Potential Relationship between Biomass and Surface Temperature using Thermal Remote Sensing over Tropical Deciduous Forests
Abstract: The forest temperature and forest biomass are important parameters in concern to forest ecosystem and related parameters. Satellite remote sensing data is the best possible source for obtaining information on both regional and global scales. Landsat TM is used to retrieve the surface temperature using spectral information and radiation heat flux parameters for a tropical deciduous forest area of Munger forests (Bihar, India). Surface emissivity values derived from spectral band …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 2, Issue 3, 2013 · pp. 13–18 Read article
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Detection of Phishing Website URLs and Email/SMS Using Random Forest and Multinomial Naive Bayes
Abstract: Currently, phishing attacks via SMS/email and URL have become significant threat to cybersecurity, posing risks to both individuals and organizations alike. Phishing attacks typically involve the creation of fraudulent websites or the dissemination of deceptive emails and SMS messages to trick users into disclosing sensitive information such as passwords, credit card numbers or personal details. To respond to these attacks, we develop a robust system for the detection of phishing …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 22–30 Read article
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Forest Sort: Implementation and Performance Analysis
Abstract: A new technique has been introduced for sorting a large number of data set. Technique is known as Forest sort. It comprises of 3 steps- (1) a forest of binary trees has been made using hashing (2) In order traversal of each tree has been carried out concurrently (3) Merge sort has been applied to the resulting lists in (2) in a concurrent manner. A comparison has also been made …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 1, Issue 1, 2013 · pp. 19–23 Read article
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FEATURE SELECTION METHODS FOR OBJECT-BASED CLASSIFICATION OF TROPICAL FOREST USING SPOT 5 IMAGERY
Abstract: The faster development of spatial technology, the more options in material for image analysis and this characteristic also leads to a huge diversity of image features. Aiming at investigating the optimal feature space for classification with emphasis on efficiency in less time-consuming, image objects separability, certain numbers of approaches ranging from graphical to statistical methods involving class separation distances have been used for classification related to Object-based Image Analysis (OBIA). …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 2, 2016 · pp. 41–49 Read article
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Polarimetric Scattering Parameter Products of ALOS PALSAR for Forest Biomass Assessment
Abstract: One of the prime factors in the global carbon budget is forest biomass. Synthetic aperture radar polarimetry finds a useful application in remote sensing of forests as it can help with the assessment of forest structure and above-ground forest biomass. Pauli and H/A/alpha decomposition techniques are applied on the dual polarimetric L-Band ALOS PALSAR data. Relationship between ground biomass and corresponding polarimetric scattering parameter (PSP) products is investigated and a …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 5, Issue 1, 2016 · pp. 1–9 Read article
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Optimizing Marketing Campaigns Using Random Forest and A/B Testing
Abstract: Marketing initiatives play a vital role in driving business growth by reaching targeted consumer segments through tailored strategies across multiple channels. The success of these initiatives is influenced by various factors, including the type and duration of the campaign, the characteristics of the target audience, the communication channels employed, and the overall efficiency of each strategy. These factors collectively impact key performance metrics such as conversion rates, customer acquisition costs, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article
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Forest Fire Early Detection and Online Remote Monitoring Using Sensors
Abstract: Forest fire device networks represent a strong technology, particularly appropriate for environmental observation. With relation to wildfires, above all, they permit low-priced police work of venturesome locations like wild land urban interfaces. This report presents the work developed throughout the last 4 years targeting a fire device network node for the reliable, on-site detection of forest fires. The tasks dispensed ranged from detective work or sensing of conditions that rise …
Published in Journal of Industrial Safety Engineering · Vol. 9, Issue 1, 2022 · pp. 16–20 Read article
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Comparison of Tree Diversity and Biomass in Community-managed and Protected Tropical Dry Evergreen Forest Sites on the Coromandel Coast of India
Abstract: AbstractThis study was carried out in four 1-ha plots distributed two each in community-managed (Sunayakkadu, SN, and Kothattai, KT) and protected (Point Calimere 1 and 2 (PC 1 and PC 2) tropical dry evergreen forest (TDEF) on the Coromandel Coast of India. The present study assesses and compares the stand structure and carbon stocking potential of trees in community-managed (CM) and protected forest (PF) categories. All trees ≥10 cm girth …
Published in Research & Reviews : Journal of Ecology · Vol. 5, Issue 1, 2016 · pp. 1–9 Read article
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Integrated Geospatial Technology for Appraising Surface Temperature and Forest Biomass in Context to Conducive Tiger Habitats in Sariska Wildlife Reserve, India
Abstract: Sariska Wildlife Reserve of Rajasthan (India) is an excellent wildlife habitat, but due to improper conservation, anthropogenic activities and human-wildlife conflicts, the number of tigers started dwindling in the middle 1990s and completely disappeared during 2005. The forest temperature and forest biomass are vital parameters in several forest-related issues and has an apparent relationship to wildlife habitat and conservation strategies. Satellite remote sensing data being the best possible way for …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 4, Issue 1, 2015 · pp. 8–14 Read article
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Evaluations of Disturbance and Land Cover Changes in the Chitrakoot Forest Range Madhya Pradesh
Abstract: Evaluation of disturbance and land cover change of forest degradation in the Chitrakoot forest range. Land cover change detection and normalized difference vegetation index analysis was carried out on the three images. Global positioning system and topographical map of scale 1:50,000 for ground verification ERDAS Imagine and ArcGIS Software for satellite image processing and analysis were used for the analysis. The Disturbance and land caver change analysis has been attempted …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 8, Issue 2, 2019 · pp. 1–5 Read article
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Vegetation Parameter Derivation for Forest Health Measurement and Stress Detection in a Time Series
Abstract: AbstractThe forest health of Jharkhand is declining for the reasons which includes heavy unscientific mining, climate change, air pollution and increased human activities. Vegetation plays a key role in reducing an ambient temperature, moisture and pollutant capture, energy use and subsequent ground level ozone reduction. There is an urgent need of detailed measurement and monitoring of forest’s health. Modern technological advancement in the field of remote sensing technology enables us …
Published in Research & Reviews : Journal of Ecology · Vol. 4, Issue 3, 2015 · pp. 19–26 Read article
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Loan Prediction Using Random Forest Algorithm
Abstract: With the growth of the banking sector, more and more people are applying for bank loans. All of these loans are not allowed. The principal income of bank assets arises from the interest earned on the loan. Bank profit or loss depends largely on the amount of the loan, i.e., whether customers pay off the loan or fail. The main purpose of banks is to invest their assets in secure …
Published in Journal of Advanced Database Management & Systems · pp. 33–39 Read article
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A Random Forest Approach to Navigating Cryptocurrency Market Fluctuations
Abstract: This study looks at the main elements influencing daily price variations to improve our analysis and prediction of Bitcoin values. Our forecasting algorithm is based on comprehensive data that we have collected and analyzed over the last few years. Because the Random Forest algorithm provides more accurate forecasts than previous techniques, that is why we chose it. Predicting the price swings of cryptocurrencies, like Bitcoin, can be challenging due to …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 7–11 Read article
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Forecasting of Crushing Strength of Sustainable Concrete by Employing Deep and Random Forest Machine Learning
Abstract: Sustainable concrete is one of the milestone of the concrete industry. This concrete fulfills the requirements of concrete manufacturing industry such as strengthen, Durability, environment friendly and many of other. With this properties of concrete, sustainable concrete is an ideal substitute for ordinary concrete in the concrete industry. In the 21th century Machine learning is a tool which is use to employ the characteristics of sustainable concrete by using deep …
Published in Journal of Polymer & Composites · Vol. 12, Issue 7, 2024 · pp. 41–46 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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SmartCloud: Extending an AI-Powered Cloud Storage System with Automated S3 Glacier Archiving, SimHash Near-Duplicate Detection, and a Custom-Trained Random Forest Recommendation Engine
Abstract: Cloud storage services have become fundamental infrastructure for both individuals and organizations, yet they continue to charge users for every byte retained without offering any mechanism to automatically reduce that footprint over time. Files accumulate progressively, near-identical document revisions go undetected, and cold data occupies expensive active storage tiers indefinitely. The present work introduces SmartCloud, a fully deployed multi-cloud storage optimization platform that addresses these inefficiencies through four integrated engineering …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article
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ASTER Spectral Analysis Based Vegetation Species Identification of the Forest Areas Situated in Ghatsila, Musabani and Dhalbhumgarh
Abstract: Reflectance-converted imagery is a requirement for establishing remote sensing algorithms for mapping vegetation species using their specific absorption and reflectance spectra. The differences among the spectral signatures, the unique patterns of absorption and reflection of visible and infrared energy help the researcher to identify types of plants. During the last few decades remote sensing technology has become increasingly important tool for mapping and inventorying forest resources around the world. Jharkhand …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 2, 2015 · pp. 41–50 Read article
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An Assessment of Soil Carbon Efflux between Agroecosystem and Forest Ecosystem at Indo-Gangetic Plains and Vindhyan Highland, India
Abstract: AbstractAssessing the effect of land-use changes on soil (Carbon di-oxide) CO2 efflux is imperative to understand the interactions between belowground metabolism and regional carbon budgets. In this study daytime soil CO2 efflux from agriculture and forest ecosystem in Indo-Gangetic plains and Vindhyan highland were measured through Li-cor 6400. The relationship between the soil temperature, soil moisture and soil CO2 efflux of these two zones along with soil properties were also …
Published in Research & Reviews : Journal of Botany · Vol. 5, Issue 2, 2016 · pp. 27–35 Read article
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Beyond Aesthetics: The Larger Role of Urban Forests in Our Lives: A Review
Abstract: AbstractThe aesthetically pleasing parks, gardens and city forests in an urban ecosystem provide the much needed hint of nature and natural beauty. Standing amidst the ever-expanding concrete structures, urban greenery is often overlooked in the planning and management of cities. The rampant expansions of urban areas especially in the developing countries is not only taking a toll on the quality of the life of the urban population but also has …
Published in Research & Reviews : Journal of Ecology · Vol. 3, Issue 2, 2014 · pp. 28–35 Read article