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205 articles for “forest”
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Analyzing and Predicting Academic Behavior from Peer Pressure Indicators Using Machine Learning
Abstract: The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
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Google Play Store Analysis
Abstract: Google play store consists of millions of applications and several thousand apps are added on the play store every day. The competition is so fierce that it is really difficult for the developers to find out whether the app that is the product of his hard work is going to be successful or not. The main goal of the study is to create a tool that helps developers and organizations …
Published in Journal of Open Source Developments Read article
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Mechanical Properties Investigation of Green Waste Composite Material
Abstract: Widespread accessibility and abundance of natural fibres are driving forces behind renewed focus on eco-friendly solutions. Researchers have recently begun to focus on natural fibres as reinforcement due to their many advantages over more conventional materials. Natural fibre is an attractive ecological and biodegradable alternative to most common glass fibre, synthetic reinforcement, because of its high specific and low cost mechanical capabilities. India is home to a wealth of untapped …
Published in Journal of Polymer & Composites · Vol. 11, Issue 4, 2023 · pp. 28–36 Read article
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Implementation of Anticipating Rainfall Using Machine Learning
Abstract: Rainfall forecasting is crucial for many aspects of our national economy and should help prevent major seasonal droughts. Since agriculture is a beloved profession in many states, some Asian countries are economically hooked to decline. Previous precipitation info is beneficial. Farmers are cancerous in managing their crops, resulting in economic progress for the country. downfall prediction is hard for earth science scientists because of unordering time and unordered quantity of …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 1, 2023 · pp. 1–8 Read article
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A review on antibacterial properties of eucalyptus oil and different eucalyptus species used in pharmaceuticals
Abstract: Medicinal plants with antimicrobial compounds play a crucial role in combating various pathogens. Eucalyptus, belonging to the myrtle family, is notable for its diverse antimicrobial compounds. This fast-growing plant thrives in many countries and its various parts offer significant medicinal value, including timber, pulpwood, and essential oils. The leaves, often considered forest harvesting waste, contain essential oils with potential medicinal benefits. Members of the genus Eucalyptus are highly valued for …
Published in International Journal of Antibiotics · Vol. 1, Issue 2, 2024 · pp. 10–19 Read article
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Survey of Predictive Models for Safe Route Predicting Using Machine Learning Techniques
Abstract: Safe route prediction is essential for the well-being and security of individuals in urban and rural environments. Machine learning techniques leverage historical data, real-time information, and algorithms to estimate the safety levels of different routes. The objective of safe route planning is to minimize risks, including crime-prone areas and accidents, reducing potential harm, property damage, and emotional distress. However, challenges arise from the complex and dynamic nature of urban environments, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 13–22 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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Fire Detection System
Abstract: Fire detection systems are engineered to identify the presence of fire or smoke and notify individuals of possible hazards. These systems employ a range of sensors, such as smoke detectors, heat detectors, flame detectors, and advanced algorithms, to recognize indications of fire inception or spread. When a fire is detected, alarms are activated, facilitating swift responses to minimize dangers and forestall fire incidents.
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 2, 2023 · pp. 29–38 Read article
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Agro- waste to Bioenergy Production in India
Abstract: The transition towards sustainable energy sources is imperative for mitigating environmental degradation and addressing energy security concerns. In the context of India, where biomass constitutes a significant portion of renewable energy potential, understanding its availability and utilization is paramount. The Biomass Resource Atlas of India serves as a comprehensive tool for assessing biomass resources, offering insights into regional and seasonal availability. However, despite substantial biomass generation, its utilization for power …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 1, 2024 · pp. 27–40 Read article
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Machine Learning Approaches Towards Resume Classification
Abstract: Finding the right person for an open position can be an unnerving task, especially when there are many applicants, and if the recruiter or the Human Resources department must sort and further categorize all those resumes then it will be a labor-intensive, time-consuming, and tiresome task. Additionally, human assessment of resumes may be biased and prone to mistakes. Manually screening the proper candidate's resume from the pool is not practicable; …
Published in International Journal of Electronics Automation · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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Biomass Resource Assessment & Management of Amritsar District of Punjab: A Case Study
Abstract: The biomass resource assessment and management of Amritsar district in Punjab highlights the intricate balance between biomass generation and consumption, with significant implications for various sectors including dairy farming. Through meticulous evaluation of agricultural residue, animal waste, and forestry biomass, the study unveils the potential for bioenergy production within the region. Key findings indicate a substantial surplus of biomass, primarily derived from agricultural activities, alongside seasonal variations in availability. For …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 1, 2024 · pp. 28–38 Read article
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Monitoring of Unauthorized Identity and Access Behaviour for Outsourced Data in Cloud Environment
Abstract: The outsourcing of data is a significant challenge in the modern cloud computing ecosystem when it comes to tracking unauthorized identification and access behaviour. In order to overcome this issue, this research suggests a thorough method for reliable anomaly detection in cloud systems. Improving data security and offering a trustworthy monitoring system are the two main goals. The suggested approach proceeds methodically, gathering information from several sources such as user …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 9–19 Read article
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Animal/Object Recognition and Monitoring
Abstract: This study focuses on teaching a computer to identify leopards in images through a process called Object Detection and Image Recognition. We created a special set of pictures (dataset) containing thousands of leopard images. Using a small camera module called ESP32 CAM, we trained the computer to recognize leopards by comparing the images it captures with the ones in the dataset. The results were obtained using a Convolutional Neural Network …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 1–6 Read article
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Enhanced Robotic Surveillance & Inspection System Innovations for Versatile Terrain Exploration
Abstract: Robotic control has demonstrated a positive impact on various segments ranging from forest patrolling to industrial inspection, drainage inspection, and pipe inspection. These versatile robots typically feature up to six wheels and run through rugged terrains with ease. By using night vision cameras, live video feeds may be accessed on laptops and smartphones, allowing for remote monitoring and photo taking. Robotic gadgets become more autonomous when night vision technology is …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 1, 2024 · pp. 1–11 Read article
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Antenna Positioning Unit for Defence Vehicles
Abstract: This paper introduces an advanced antenna positioning system specifically engineered for defense vehicle applications, featuring Azimuth angle rotation and Elevation angle rotation. The system, designed for precision and adaptability, achieves remarkable accuracy. Noteworthy is its immunity to magnetic field interference, ensuring unwavering reliability in electromagnetic-intensive defence environments. The system's substantial weight-bearing capacity, coupled with precise control, makes it an ideal solution for defense vehicles necessitating advanced communication and surveillance capabilities. …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 38–46 Read article
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A Supervised Learning Approach for Toxic Comment Detection on Social Media Platforms
Abstract: Nowadays everyone uses social media platforms like X (formerly Twitter), Instagram, Facebook, etc. for various purposes. With the help of this, we share our opinions, ideas, and feelings. Generally, the datasets obtained from the internet are constructive; however, there is a significant proportion of toxic ones. The datasets are filtered to remove noise, and noise is removed in post-processing. The study initiates with the upload and preprocessing of a toxic …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 2, 2024 · pp. 7–14 Read article
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The Efficacy of Fig Extract on Some Candida spp.
Abstract: The study was conducted in Al-Amin Laboratory by preparing the alcoholic extract of fig leaves, which were collected from the garden of a house in Najaf Governorate / Al-Shuara’a during the month of December 2023 for the purpose of testing its inhibitory effectiveness against two isolates of the fungus Candida albicans and Candida dubliniesis taken from Al-Amin Scientific Research Laboratory, where serial concentrations of the extract were prepared (12,9,6,3) mg/ml., …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 2, 2024 · pp. 19–23 Read article
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Meta-Analysis on Antibiotic Resistance and Its Irrational Use in India: Need of Antibiotic Stewardship Program Implementation
Abstract: Antibiotic resistance is a major health issue in developing countries. This issue is increasing exponentially due to increased consumption, easy availability of medicine and higher incidence of inappropriate use. Moreover, India stands as one among the highest infectious disease burdened country in the world. This study aims to conduct a statistical analysis to find the association between antibiotic resistance and its irrational use in India. Thereby, emphasizing the need for …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 2, 2024 · pp. 6–14 Read article
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Advancements in Intrusion Detection: Tackling Imbalanced Network Traffic with Machine Learning and Deep Learning Techniques
Abstract: Malicious cyberattacks can frequently hide enormous amounts of typical data in unbalanced network traffic. It is very stealthy and obfuscating in cyberspace, which makes it challenging for Network Intrusion Detection Systems (NIDS) to guarantee the precision and promptness of detection. This essay investigates. Machine learning and deep learning are utilized for intrusion detection in imbalanced network traffic. It offers a novel method for addressing the problem of class imbalance termed …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 18–24 Read article
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Comparative Study of Change Detection Methods in High Resolution Images
Abstract: Natural phenomena including weathering, erosion, volcanic eruptions, and plate tectonics, as well as human activities like agriculture, deforestation, and urbanization, cause the Earth's surface to change continuously. In many different applications, such as environmental monitoring, disaster management, urban planning, agriculture and forestry, climate change studies, resource management, and infrastructure monitoring, it may be extremely beneficial to detect and track these changes. There are various algorithms and methods proposed by many …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 1–5 Read article