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70 articles for “Forest types”
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Species Diversity and Structural Analysis of Komba-Daga Moist Evergreen Forest, Kaffa Zone, Southwest Ethiopia
Abstract: This study was conducted to determine the floristic composition, community types, vegetation structure and regeneration status of selected tree species in the Komba-Daga forest, Kaffa zone, Gimbo district of southwest Ethopia. Systematic sampling method was used to collect vegetation data. A total of 62 plots each with quadretes of 20 m x 20 m for tree species, 5 m x 5 m for shrubs, seedling and sapling and 1 m …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 5, Issue 3, 2015 · pp. 14–23 Read article
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Forest Change Monitoring of Ghatsila, Musabani and Dhalbhumgarh Block of East Singbhum District, Jharkhand State using Image Subtraction, Image Ratioing and SAM Classification Method
Abstract: Forests and biodiversity is the key of all life forms. The richer the forest, greater the opportunity for economic development and adaptive responses to the challenge of climate change induced disasters. The forest area of Jharkhand is rapidly destroyed due to unscientific mining, industry induced air pollutants and human encroachment in forest area. This heavy deforestation activity has changed the ecosystem and environment. Recent advancement in remote sensing technology has …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 1, 2015 · pp. 37–42 Read article
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Comparative Analysis of Heart Disease Prediction System
Abstract: In the present world, where heart illnesses are on the rise, it is crucial to forecast these diseases. Performing the task on heart disease is a bit difficult and it must be finished precisely and successfully. Heart disease identification relies heavily on Machine Learning (ML) and data mining approaches. The primary focus of the review paper is that patients are easily prone to cardiac diseases depending on medical traits. Using …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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Quality Inspection, Maturity Detection, and Size based Grading of Various Types of Mangoes using Machine Learning Methods
Abstract: Mango is the most significant and flavorsome fruit in most continents, especially in Asia. Mango grading is an important task in agro-industry. The grading process creates many problems during harvesting for mango growers. The manual grading process is performed by visual inspection and it is very time consuming and labor intensive. Due to different market prices and different market demand, automation in mango grading plays an important role to achieve …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 1, 2020 · pp. 18–31 Read article
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Passive Microwave Remote Sensing of Flood: A Comparison of Various Methods
Abstract: Microwave Remote Sensing is used to detect different land cover types such as, bare soil, water bodies, vegetation cover, forest cover etc., and using different procedures. In this paper, we have targeted on a methodology to detect difference between land and water by using brightness temperature at different frequencies during the flooding period. Disastrous flood occurred in Kashmir (India) during 2014, and passive microwave remote sensing data are utilized for …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 1, 2015 · pp. 17–23 Read article
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Crop Disease Prediction by Machine Learning
Abstract: The classification of Crop can be classified into several methods. The data set of crop leaf illnesses, notably Bacterial Leaf Blight disease (BLB), a crop leaf disease with significant outbreaks throughout Thailand, and Brown Spot Crop disease (BSR), is classified employing image classification in this study. Additionally, image processing technology is used for identifying different types of crop leaf disease. These algorithms include the Random Forest, Decision Tree, Gradient Boost, …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 21–25 Read article
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Multimodal Disease Detection Using Deep Learning
Abstract: Artificial Intelligence (AI) is playing an increasingly pivotal role in modern healthcare, particularly in improving the speed and accuracy of disease detection. With the evolution of Machine Learning (ML), Deep Learning (DL), and high-performance computing, AI-based solutions are now capable of processing extensive medical datasets, ranging from patient records to diagnostic images, with remarkable efficiency. These systems offer immense potential for early intervention, improved clinical decision-making, and alleviating pressure on …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 129–139 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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DDoS Detection Using Cascade Correlation for Improving Network Resources in Cloud Environment
Abstract: Intrusion detection is critical for protecting network security from emerging cyber threats. This study describes a unique intrusion detection system (IDS) based on the Random Forest algorithm. Random Forests are used as an effective classifier to identify patterns linked with malevolent behaviour. This technique uses Random Forests to improve the accuracy and efficiency of intrusion detection systems. The suggested methodology's value is shown by its performance on the benchmark KDD …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 17–22 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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Life-forms and Biological Spectrum of a Dry Deciduous Forest in Gadag District, Karnataka, India
Abstract: ABSTRACTThe present paper deals with the different life form categories and biological spectrum of a forest in Gadag district, Karnataka. The Gadag flora recorded 667 wild species belonging to 430 genera in 108 families. Biological spectrum of the present study shows that Therophytes (45%) were the most dominating life-form, followed by Phanerophytes (29%), Hemicryptophytes (13%), Chamaephytes (12%) and Cryptophytes (1%). The comparison with Raunkiaer’s normal spectrum depicts Thero-phanerophytic type of …
Published in Research & Reviews : Journal of Botany · Vol. 1, Issue 2, 2012 · pp. 9–37 Read article
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AI-Driven Predictive Maintenance Framework for Intelligent Vehicle Health Monitoring
Abstract: The accelerated development of smart and connected car systems made the necessity to find the accurate and real-time predictive maintenance solutions which would minimize the number of unexpected failures as well as increase the cars on-road safety. The current paper proposes an artificial intelligence-based hybrid predictive maintenance system that combines Long Short-Memory (LSTM) networks and the XGBoost predictor to provide a potent vehicle fault diagnosis, Remaining Useful Life (RUL) prediction, …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 1–17 Read article
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Green Leafy Vegetables of Chhattisgarh Containing Vitamins and Minerals
Abstract: The present studies of Chhattisgarh Plants have been utilized as a natural source of medicinal compounds in recent years. Chhattisgarh region plants and plant-derived products is commonly used to cures and relief various physical and mental illnesses.. In Chhattisgarh state, various populations of tribal rural and local populations used various types of leafy vegetables. These tribal and local populations of Chhattisgarh particularly people around the forest area depend on leafy …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 9, Issue 2, 2022 · pp. 13–19 Read article
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Transformer Health Monitoring System
Abstract: Rising demands for reliable and efficient power distribution in modern electric control grid increasingly call up for robust monitoring systems for critical substructure. Being a vital part of the power conduction system, transformer are subjected to mechanical, electrical, and environmental stresses, which, if not properly controlled, can cause failures. In this project, we propose a Transformer Health Monitoring System (THMS) using machine learning (ML) models and real-time monitoring method to …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 1–9 Read article
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Optimizing Mechanical and Durability Properties of Eco-Friendly Composite Materials Using Recycled Fillers and ML Techniques
Abstract: The increasing demand for sustainable construction materials has intensified the exploration of recycled fillers as partial or full replacements for natural aggregates in composite materials. This study investigates the mechanical and durability performance of polymer matrix composites incorporating processed recycled fillers derived from construction and demolition (C&D) waste. Three distinct processing methods were employed to prepare the recycled fillers: untreated (URF), single processed (SPRF), and double processed (DPRF), with replacement …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 269–309 Read article
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AI-Driven Multi-Objective Optimization of Conductive Polymer Composites for High-Performance Flexible Electronics
Abstract: The development of conductive polymer composites (CPCs) is critical for advancing flexible and wearable electronic technologies. However, the conventional trial-and-error approach to material formulation is time-consuming and often inefficient due to the high-dimensional nature of the design space. This study introduces a novel AI-driven framework that integrates machine learning (ML) with multi-objective optimization to accelerate the discovery of high-performance CPCs. A dataset of 1,000 experimentally reported formulations was compiled, capturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 734–745 Read article
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Study on Land Use/Land Cover Change Dynamics through Remote Sensing and GIS – A Case Study of Kamrup District, North East India
Abstract: The study describes the land use and land cover dynamics in Kamrup district of Assam from 1991 to 2011 using remote sensing and Geographical Information System (GIS). Satellite remote sensing and GIS acts as an effective approach for analyzing the direction, rate and spatial pattern of land use dynamics. Landsat-TM and ETM+ for the period 1991, 2001 and 2011 were used to prepare the land use/land cover (LULC) map for …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 1, 2014 · pp. 55–62 Read article
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A Comprehensive Survey of Polymer Detection Techniques and Computer-Based Analysis Methods for Advanced Material Characterization
Abstract: Polymers are widely used in aerospace, automotive, biomedical, packaging, electronics, and manufacturing industries because of their lightweight nature, durability, and versatility. Accurate polymer identification and characterization are essential for quality control, recycling, performance assessment, and the development of advanced materials. Characterization helps determine important properties such as chemical composition, molecular structure, thermal stability, mechanical strength, and surface morphology, which influence material performance and application suitability. Traditional polymer detection methods include …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 921–929 Read article
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Assessment of various Biometric Techniques
Abstract: In this day and age, information security is a noteworthy issue; there are various strategies to anchor information or forestall unapproved get to biometrics is a quickly developing innovation that is as a rule generally utilized in forensics, security; avoid unapproved access in bank or ATMs. There are various types of biometrics currently being incorporated with innovation stages. As biometric innovation develops there will be an expanding cooperation among the …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 3, 2018 · pp. 18–33 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 · Vol. 9, Issue 4, 2022 · pp. 33–39 Read article