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205 articles for “forest”
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Performance of Artificial Neural Network for Tree Species Identification using Sentinel-2 Data
Abstract: Accurate land cover mapping, especially concerning vegetation, is crucial for effective land use policy planning and sustainable forest management. Hence, achieving accuracy in mapping requires a deep understanding of composition changes, vegetation conditions, and the spatial distribution of tree species. In the spatial context of tree species, it holds significant potential for applications including invasive species monitoring, delineating contaminated areas, and biodiversity conservation. However, traditional methods for tree species identification …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 12–21 Read article
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Early Autism Diagnosis: Machine Learning Models and Their Effectiveness
Abstract: Diagnosis is of utmost importance for timely intervention and support. However, traditional diagnosis methods, which are based on subjective assessment, are delayed. This project explores the role that machine learning techniques might play in enhancing the accuracy and effectiveness of ASD detection. Several state-of-the-art classification algorithms were benchmarked using a dataset from Kaggle. Logistic Regression, XG Boost, Random Forest, Decision Tree, and Gradient Boosting were taken into consideration. Other performance …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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Valeriana Jatamansi in Ailment of Various Diseases: A Review
Abstract: V. wallichii, often known as Valeriana jatamansi, is a significant medicinal herb. The word ‘Valerian’, which is derived from the word ‘Velo’ means ‘strong drug’, was originally used by an Indian doctor in the ninth century. This review focus on their geographical characterization, botanical characterization, traditional uses, and their mechanism of action on various bioactivity. This review discusses the major bioactive constituents and their 2D and 3D structures. V. jatamansi …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 3, 2024 · pp. 1–13 Read article
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Fertilizer Prediction Using Machine Learning
Abstract: Fertilizer prediction is a critical aspect of modern agriculture, aimed at optimizing resource utilization while maximizing crop yields. In recent years, machine learning (ML) techniques have emerged as powerful tools for addressing this challenge by leveraging data-driven approaches to predict the optimal type and quantity of fertilizer required for different crops and soil conditions. This research paper provides a comprehensive review of the existing literature and methodologies employed in fertilizer …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 26–35 Read article
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Climate Change and Economic Vulnerability in Pakistan: An Analysis of Future Risks
Abstract: This paper discussed effects of climate change on economic vulnerability in Pakistan. The findings show that the nation's economy is negatively impacted by climate change. Poverty, unemployment, crime, forest fire, diseases, migration, internal displacement, urban slum, flood etc. will be increase in future due to climate change. Biodiversity and economic balance will be disturbed. Food production, electricity supply, basic infrastructure will be badly affected. Development activities in water resources, as …
Published in International Journal of Climate Conditions · Vol. 1, Issue 2, 2024 · pp. 39–46 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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Nanotechnology and Nanoparticles for High Altitude Agro-ecosystem and Environmental Sustainability
Abstract: High-altitude agro-ecosystems are widely distributed throughout the world. In the Indian subcontinent, Himalayan region represents the high-altitude ecosystems, which demand extensive management due to their increasing deterioration in recent times. The extremely low temperature, proneness to natural calamities, recurring floods, droughts, low soil moisture and fertility, high solar intensity impose constraints for sustenance of hill agriculture. To enhance crop productivity to sustain increasing population, hill farmers are using excessive amount …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 155–164 Read article
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Review Paper of the Rich Floral and Faunal Diversity in Chhattisgarh, India
Abstract: Chhattisgarh, a state in central India, is renowned for its rich biodiversity, encompassing a wide variety of plants and animals. This review highlights the critical role that sacred groves—small, often isolated forest patches preserved by local communities—play in maintaining this biodiversity. These groves are repositories of genetic diversity and serve as sanctuaries for numerous species, many of which are threatened by habitat loss and fragmentation. However, the integrity of these …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 3, 2024 · pp. 23–38 Read article
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A Study on Distribution of Acridoidea (Orthoptera) of Patna District, Bihar (India)
Abstract: A thorough study of species shows that 12 types of grasshoppers fall into 3 families: Acridoidae, Catantopidae, and Pyrgomorphidae. These families have 7, 3, and 2 species, respectively. The survey places with rich plants and different weather conditions – like rainfall, humidity, and temperature. Researchers did an extensive survey. They checked many crops and habitats to gather grasshoppers from various agricultural spots. These insects were observed in their natural habitat. …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 3, 2024 · pp. 1–5 Read article
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Biodiversity of Gentiana sikkimensis C.B. Clarke in Sikkim Himalaya
Abstract: The mountain ecology is a fragile ecology where the species are ecologically linked and grow maintaining particular ecological niche. Several species of alpine forest are unique in their diversity. This result might be resulted due to the microclimatic conditions of mountain ecology. Since, this writing covers Gentiana sikkimensis Clarke and according to the report, the Himalayan region is bestowed with the different species of Gentiana upto ca. 71 species. Out …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 3, 2024 · pp. 33–37 Read article
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Land Degradation Mapping Using Integration of Remote Sensing and Geographic Information Systems in Maricá, Rio de Janeiro, Brazil
Abstract: The purpose of this paper is to study the growing problem of soil erosion in the municipality of Maricá, Rio de Janeiro, Brazil. The study area has an excellent agricultural condition. However, due to human and natural factors, water erosion is becoming a major problem. Therefore, new approaches are needed to determine soil degradation not only for the identification of hotspots, but also to identify areas prone to degradation to …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 3, 2024 · pp. 45–56 Read article
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Literature Review and Discussion of Machine Learning Algorithms for Predicting Chronic Kidney Disease
Abstract: Being one of the most serious and most occurring diseases in our era, chronic kidney disease requires a fast and correct diagnosis. The usage of machine learning in medicine has now grown to such a level that it could be a means of diagnosis. The doctor can be the first one to get the ailment by using machine learning classifier algorithms. This has been the data science sector’s new horizons, …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 34–39 Read article
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Strategy to Accelerate the Biopharmaceuticals Production Using Komogataella phaffii (Pichia pastoris)
Abstract: Revenue generation has been the primary goals for nations as well as the industries worldwide. Biopharmaceutical verticals have become potential revenue generators as they are the industrial workhorses and the economic engines that drive the upcoming biopharmaceutical industries with advances in DNA recombinant technology. A breakthrough in the indusrial biotechnology for the production of biopharmaceuticals using Pichia pastoris is awaited. Ablynx NV, Recombinant proteins (RP), HSA-pFSH beta, antibodies, borosin, N-glycoprotein, …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
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Diabetes Prediction Using ML Techniques
Abstract: Diabetes mellitus, commonly referred to as diabetes, denotes a cluster of prevalent endocrine disorders characterized by persistent elevated levels of blood sugar. Diabetes is classified into two main types: type 1 and type 2. Type 1 diabetes arises when the body is unable to produce insulin, while type 2 diabetes involves either insulin resistance or insufficient insulin production. Early detection and intervention are essential to reduce its harmful impacts. The …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Detection of Phished URLs Using Machine Learning
Abstract: Phishing attacks remain a significant cybersecurity challenge, requiring innovative detection strategies. This study investigates the use of machine learning to detect phishing URLs, to improve the accuracy and reliability of detection systems. Utilizing a diverse dataset of legitimate and phishing URLs we extracted the features such as lexical properties, domain-specific details, and HTML content to train various machine learning models. Algorithms including Random Forest, support vector machine (SVM), and gradient …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article
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Unified Ensemble Techniques for Enhanced DDoS Attack Prevention and Detection
Abstract: Today’s world is entirely reliant on the internet. The internet is a worldwide information source that all users rely on, hence its accessibility is critical. There have been reports in recent years, particularly in the information and technology division of significant organizations worldwide, of data breaches where the terms denial-of-service (DoS) and DDoS are consistently present in the stolen material. Network security is seriously threatened by DoS attacks. They have …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 2, 2024 · pp. 20–27 Read article
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Resilience Building through Disaster Risk Reduction
Abstract: A catastrophe is a serious disruption to a society's functioning that causes mortal, material, profitable, and environmental losses beyond a community's capability to manage. It results from the admixture of hazards, surroundings of exposure, and lack of volume or measures to lower the implicit negative results of threat. Hence, catastrophe control may be delineated as the arranging and administration of effects and the responsibility for handling all philanthropic angles of …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 2, Issue 2, 2024 · pp. 32–45 Read article
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Preliminary Checklist of Acridoidea (Orthoptera) of Patna District, Bihar (India)
Abstract: The family Acrididae, which falls under the order Orthoptera includes locusts and grasshoppers. Insects are found all over the globe. In general, locusts refer to larger acridids, while smaller species are known as grasshoppers. The comprehensive study indicates that there are 19 species from various families, which include 12 species from Acrididae, 4 Catantopidae, and 3 from Pyrgomorphidae. A thorough investigation was carried out across different crops and habitats to …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 67–71 Read article
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Water Quality Testing of Yamuna River at Poiya Ghat (Vaikunth Dham/Swarg Dham), Agra: A Systems Study
Abstract: Since pre-historic times, river water has been used as a source of drinking water. River water is now a source of hydropower generation, irrigation, aquaculture, navigation, transportation, socioeconomic activities, human settlements and home for aquatic living forms. Apart from this, river water has very vital role in maintaining soil fertility, wildlife conservation and development of forest resources. Due to increase in industrialization, urbanization, mining, sewage disposal and rampant use of …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 3, 2024 · pp. 01–03 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