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1193 articles for “agriculture chat bot.csv dataset”
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Interpretable Skin Cancer Detection via Optimized CNN Models for Smart Healthcare Solutions
Abstract: Skin cancer is a common and potentially life-threatening condition, highlighting the importance of reliable and efficient diagnostic techniques. Recently, convolutional neural networks (CNNs) have demonstrated significant potential in automating the classification of skin cancer using thermoscopic images. Despite these advancements, the lack of interpretability in these models poses a barrier to their widespread use in clinical settings. In this study, we propose an interpretable CNN architecture optimized for skin cancer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 41–45 Read article
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AI Activity to Enhance Productivity, Creativity, and Sustainable Development of AI in Healthcare
Abstract: The application of artificial intelligence (AI) in healthcare is revolutionizing the industry by fostering both productivity and creative approaches to patient care and medical research. This study explores how artificial intelligence (AI) is reshaping healthcare by streamlining workflows, improving diagnostic precision, and supporting personalized treatment plans. AI-powered technologies are reshaping the way medical professionals approach patient care, providing tools that not only automate routine administrative and clinical tasks but also …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 21–29 Read article
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AI: Revolutionizing Pharmacy Practice and Enhancing Patient Care and Safety
Abstract: The use of artificial intelligence (AI) in pharmacy is transforming medication management, improving patient care, and boosting safety. By leveraging cutting-edge technologies, such as machine learning, natural language processing, and predictive analytics, AI enables pharmacists to develop personalized treatment plans and anticipate possible adverse drug reactions. AI-driven systems enhance operational efficiency by streamlining inventory management, prescription processing, and administrative duties, allowing pharmacists to devote more time to patient care. Additionally, …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 13–20 Read article
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Real-time DDoS Attack Prediction in SDN Environments Using Machine Learning
Abstract: The ever-growing reliance on sdn-based services necessitates robust security measures against Distributed Denial-of-Service (DDoS) attacks that threaten service availability. This project investigates the development of a real-time prediction system for DDoS attacks in sdn environments, leveraging the power of machine learning. The proposed system employs a Decision Tree classification algorithm implemented in Python. To ensure accurate attack identification, the system meticulously addresses data preprocessing challenges inherent in network traffic datasets. …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 16–27 Read article
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Unveiling Patterns in Complexity: The Role of Simple Statistics and Fuzzy Mathematics in Data Analysis
Abstract: In this study, statistical methods must be integrated with fuzzy mathematics to solve complex data. Statistical methods offer clear, unbiased, and computationally feasible tools for analysing numerical data. whereas fuzzy mathematics excels in describing the vagueness and ambiguity of human feeling by way of linguistic variables, membership functions, and inference systems. Giving it an apparent advantage when modelling complex conditions. Hybrid frameworks offer fine-grained decision-making and resilient adaptability to real-world …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 1, 2025 · pp. 01–10 Read article
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Degradation of Building Materials by Corrosive Pollutants
Abstract: Fiber reinforced polymers (FRP) is used for the corrosion suppression of reinforced concrete structures (RCS). One of the main issues with reinforced concrete constructions is corrosion. It interacts with acids, alkalis and salts to produce disintegration in building materials components. Pollutants and effluents speed up disbanding inside and outside reinforced structures. Bio-wastes come in contact of building materials to develop miro and macro-organism and these organisms release acid substances to …
Published in International Journal of Minerals · Vol. 2, Issue 1, 2025 · pp. 15–24 Read article
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Revolutionizing oncology - role of artificial intelligence in early cancer detection and diagnostic advances-A comprehensive review
Abstract: Oncology has experienced a remarkable transformation with the adoption of artificial intelligence (AI), which has greatly enhanced cancer detection and diagnosis. As one of the leading causes of death worldwide, cancer highlights the importance of early detection in improving patient outcomes and survival rates. AI’s ability to analyze vast and complex datasets has enabled groundbreaking innovations in imaging, pathology, biomarker discovery, and predictive analytics. This review highlights key AI-driven advancements …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 1, 2025 · pp. 18–22 Read article
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Comprehensive Insights into Toxicology: Mechanisms, Applications, and Modern Developments
Abstract: Toxicology, the study of the harmful effects of substances on living organisms, has become increasingly vital in today's world due to industrial growth, agricultural advancements, and heightened exposure to environmental and chemical toxins. This article examines the foundations of toxicology, exploring its definitions, core principles, and mechanisms of action. It also delves into specialized branches such as forensic, environmental, and medical toxicology, highlighting the differences between toxicants, toxins, and poisons, …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 1, 2025 · pp. 31–37 Read article
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Ethical Consideration in the Use of Artificial Intelligence in Medicine and Healthcare
Abstract: Artificial Intelligence (AI) in medicine and healthcare offers tremendous potential for improving patient care, increasing the precision of diagnoses, and increasing operational efficiency. To ensure responsible application, however, the swift uptake of AI technologies also brings up important ethical concerns that need to be addressed. This article explores various ethical challenges in healthcare AI, including concerns about algorithmic bias, data privacy, informed consent, and accountability. Patients must be aware of …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 23–28 Read article
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Fake Cryptocurrency Detection Using Python
Abstract: This study investigates the use of Python-based techniques for detecting fraudulent cryptocurrencies, addressing a growing concern in the digital financial ecosystem. The research methodology integrates various data science approaches, including web scraping, API integration, and advanced data analysis using Pandas and NLTK. Machine learning models, particularly classification algorithms such as Random Forest, are employed to analyze key features extracted from cryptocurrency whitepapers, social media discussions, and transactional data. By training …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
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The Role of Sediments in the Survival of Benthic Organisms
Abstract: Sediments are soil-based mineral matter, decomposing organic and inorganic substances that can be carried away by water, wind, or ice. The benthic organisms reside on or in the bottom part of the sediment of a water body. This review assesses the positive and negative impacts of sediments on the aquatic environment, benthic flora and fauna survival, and factors affecting sediment load of water, some listed physicochemical parameters of sediments, and …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 1, 2025 · pp. 60–69 Read article
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Intrinsic Evaluation of Graph Embeddings: Assessing Clustering and Community Detection Performance
Abstract: This paper presents an intrinsic evaluation of some graph embedding techniques on clustering and community detection tasks. We analyze a diverse set of embedding methods, ranging from traditional techniques such as Laplacian eigenmaps to more recent approaches like graph autoencoders, high-order proximity preserved embedding (HOPE), and graph attention network (GAT), using two widely studied datasets, Cora and CiteSeer. Our evaluation relies on two main metrics: Silhouette score with respect to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 40–48 Read article
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Taxonomic Studies of Gaudy Grasshoppers (Pyrgomorphinae: Pyrgomorphidae: Orthoptera) in Bihar, India
Abstract: The subfamily Pyrgomorphinae belongs to the family Pyrgomorphidae. Members of this subfamily have brightly colored bodies, owing to which they are commonly known as “gaudy grasshoppers”. It had been an extensive survey for grasshoppers that consisted of diversified and rich flora as well as different ecological conditions, rainfall, humidity, and temperature. Surveys in various seasons in important agricultural areas in different regions of Patna district for the collection of grasshoppers …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 1, 2025 · pp. 53–59 Read article
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Why Sheep Matter? A Holistic Perspective on Productive, Social, and Economic Benefits
Abstract: The comparative advantages of raising sheep over goats have significant implications for productive, social, cultural, and economic perspectives in livestock farming systems. Sheep farming offers unique benefits, including superior wool production, higher carcass yields, and greater adaptability to diverse climates and grazing systems. Sheep are more efficient in utilizing low-quality forages, exhibit better reproductive performance with higher lambing percentages, and demonstrate reduced susceptibility to diseases, resulting in lower veterinary costs. …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 2, 2025 · pp. 9–25 Read article
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Sustainable Feeding Practices for Dairy Development in the tropics: Exploring Cost Reduction through Resource Optimization
Abstract: Sustainable feeding practices are crucial for enhancing the economic viability and environmental responsibility of dairy farming. This review explores innovative strategies for cost reduction through resource optimization, aiming to minimize feed expenses while maintaining animal health and productivity. A comprehensive examination of over 100 cost-saving measures reveals diverse approaches, including nutritional planning, pasture management, and the incorporation of alternative feed sources. The integration of precision feeding techniques, waste utilization, and …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 2, 2025 · pp. 11–19 Read article
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Comparative Evaluation of the Pozzolanic Activity of Artificial Pozzolans: Steel Slag, Fly Ash, and GGBFS
Abstract: Evaluating the pozzolanic activity of specific industrial waste is crucial given the growing demand for cementitious materials. This research aims to expand the possibilities of incorporating pozzolanic waste such as Steel Slag (SS) as additives to cement. SS is a byproduct of the steel production process. A byproduct of the steelmaking process, slags have long been used as aggregates in building materials like concrete and roads. A closed-loop structure and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 341–361 Read article
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Low-cost Feed Resources for Sustainable Dairying: Exploring Conventional, Agro-Industrial, and Non-Conventional Feeds to Optimize Nutritional Adequacy
Abstract: This study explores the potential of cost-effective feed resources to enhance the sustainability of dairy farming by focusing on conventional, agro-industrial, and non-conventional feed alternatives. Rising feed costs remain a significant challenge =124ed5y7u-8 n dairy production, and optimizing feed efficiency is crucial for maintaining profitability and sustainability. Conventional feed resources, including roughages and pastures, provide the foundation for dairy cow diets, yet their nutritional content varies seasonally and geographically. Agro-industrial …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 2, 2025 · pp. 11–27 Read article
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Seed Priming with Zinc Oxide Nanoparticles and Plant Growth-promoting Rhizobacteria to Enhance the Seedling Development of Fenugreek
Abstract: Globally, agrochemicals are introduced to the soil as additional nutrients to increase soil fertility. A broad variety of situations in nature can be adapted by Plant Growth Promoting Rhizobacteria (PGPRs), thus making them a potential ecologically sustainable alternative. In addition, they are involved in a variety of ecologically important activities and interact with soil microorganisms both effectively and antagonistically. The growth of plants is known to be influenced by the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 362–376 Read article
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Correlation Between Agronomic and Stem Borer (Sesamia Calamistis) Resistant Traits In Sorghum (Sorghum Bicolor (L.) Moench)
Abstract: Stem borer (Sesamia calamistis) infestation remains a significant challenge in sorghum (Sorghum Bicolor (L.) Moench) cultivation, leading to substantial yield losses in Nigeria. This study is aimed at investigating the interrelationship between agronomic and resistant traits of stem borer (Sesamia calamistis), and its influence on selection. The study was carried out at the research field of Plant Breeding Unit, Department of Agriculture Biotechnology, National Biotechnology Research and Development Agency. Forty …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 2, 2025 Read article
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Efficient Energy Management using Artificial Intelligence (AI) and Machine Learning (ML) in Chemical Industry
Abstract: The globe is moving toward higher usage of renewable energy sources, particularly solar and wind energy, as a result of depleting fossil fuel supplies and growing environmental concerns. There are several forecasting methods available for effective wind energy utilization. This review uses algorithms for predicting solar and wind energy as well as artificial intelligence (AI) techniques. A wind-coal coupling energy system planning scheme was designed to lower the high energy …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 33–50 Read article