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1452 articles for “P-value”
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A Comparative Review of AI-driven 3D Modelling for Simplified Photogrammetry and Object Acquisition
Abstract: The field of photogrammetry, historically reliant on guide strategies, is undergoing a transformation with the emergence of AI-powered 3d modeling answers. This assessment work delves into this evolving panorama by using evaluating and comparing various AI-pushed gear presented by means of exclusive businesses. The study in particular makes a specialty of their effectiveness in simplifying photogrammetry workflows and facilitating the acquisition of 3D gadgets. The analysis contains a diverse range …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 21–32 Read article
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Recent Applications and Influences of Artificial Intelligence (AI) In Chemical and Allied Sciences
Abstract: Artificial Intelligence (AI), the future tool of mankind that can revolutionise scientific research by making it faster, add more efficiently and accurately. During the pandemic situation, the scientific community was parted into two distinct groups, the computation-dependent community could easily continue their research work from their resident, while the works of the other group of researchers with lab-oriented research stopped entirely. In this connection use of AI becomes important and …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 22–48 Read article
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Sustainability Empowerment through Agricultural Information Hub
Abstract: Abstract A Farmer Information System web application has been developed to assist rural farmers in learning about and utilizing online sales platforms. Through this system, farmers can both purchase and sell their agricultural products, while also accessing valuable information to enhance their productivity. The project's main goal is to establish a website enabling farmers to sell their produce to customers in various cities. This platform serves as an educational resource, …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 19–24 Read article
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A Comprehensive Review on Pharmacological and Therapeutic Uses of Azadirachta Indica in the Treatment of Various Diseases
Abstract: In ancient medicine, the majority of illnesses were treated with plants and phyto-compounds. The most beneficial traditional medicinal plant is Azadirachta indica (Neem). In Ayurveda, it has several therapeutic effects. One of the most adaptable medicinal herbs, it exhibits a broad range of biological action. It possesses medicinal qualities, including anti-microbial, and high efficacy and safety agents. The biologically active components of this plant have a wide range of uses. …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 1, 2025 · pp. 14–25 Read article
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Secure Streaming Services and Consumer Behaviour: Cryptographic Innovations and Impulsive Buying in the Digital Film Industry
Abstract: This study examines the interaction between cryptographic advancements, secure streaming services, and impulsive buying behaviour within the digital film industry. It explores how improvements in data encryption and decryption enhance the security of streaming platforms, impacting consumer purchasing choices. As streaming services grow in popularity, secure environments play a crucial role in fostering trust, which may encourage impulsive buying by providing consumers with a sense of safety and ease of …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 28–36 Read article
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Algorithm for the prediction of cardiovascular disease (CVD)
Abstract: cardiovascular diseases (CVD) still claim a significant number of deaths globally and remain the number one killer with an annual death toll of nearly 17.9 million. While several medical advancements have been made, an early diagnosis is still hard to obtain, which often leads to worsening conditions and intricate treatment options. With the advancement of modern technology, Machine learning has demonstrated to be a miraculous tool which can greatly impact …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 Read article
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AI-Powered Drug Delivery: Revolutionizing Formulation Science
Abstract: Artificial Intelligence (AI) is emerging as a groundbreaking tool in revolutionizing Drug Delivery Systems (DDS), offering promising advancements in precision, efficiency, and personalized treatment strategies. The integration of AI technologies into pharmaceutical research and development is transforming how drugs are formulated, delivered, and monitored in real time. By leveraging machine learning algorithms and data analytics, researchers can design drug delivery models that are not only more effective but also tailored …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 48–61 Read article
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Polymer Waste-Derived Activated Carbon from PET for High-Efficiency Supercapacitor Electrodes
Abstract: The exponential increase in plastic waste, particularly Polyethylene Terephthalate (PET)—a polymer characterized by its repeating aromatic terephthalate units and ester linkages—has escalated into a global environmental crisis. This study details a low-cost synthesis of porous carbon materials derived from waste PET via pyrolysis followed by chemical activation with calcium hydroxide (Ca(OH)2). During pyrolysis, the PET polymer chains undergo thermal degradation, where the aromatic rings in the backbone serve as precursors …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1419–1447 Read article
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VIKSIT BHARAT: Empowering Indians in the Area of Caring Society Culture for National Development
Abstract: This paper examines the vision of Viksit Bharat (Developed India) by focusing on the empowerment of citizens through the cultivation of a “Caring Society Culture.” It argues that sustainable national development in India must go beyond economic indicators and be rooted in societal values such as empathy, mutual respect, and collective responsibility. The study highlights the interplay between social responsibility and national growth, asserting that a society driven by compassion …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 3, 2025 · pp. 37–47 Read article
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Kaniadakis Holographic Dark Energy by Using Hybrid Scale Factor
Abstract: We carry out the work on Kaniadakis holographic dark energy KHDE with hybrid expansion law by taking the scale factor containing both exponent and exponential form. Therby revealing the present state of accelerating and expanding universe in the flat Friedmann-Robertson-Walber universe. The deceleration parameter q portrays whether he universe is decelerating or accererating. q greater than zero suggests the universe is slowing down or getting decelerated and q less than …
Published in Journal of Polymer & Composites · Vol. 11, Issue 7, 2023 · pp. 30–38 Read article
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Review on Machine Learning Techniques for Heart Failure Analysis in Health Industries
Abstract: There are few bodily components as crucial as the heart. It aids in the filtration and distribution of blood to every area of a body. The world's biggest cause of death is heart disease. It has been reported that symptoms include breathing difficulties, fast heartbeat, and chest discomfort. They analyze this data on a regular basis. This review begins with a brief introduction of cardiac disease and the present methods …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 29–43 Read article
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A Comprehensive Survey on Detection of Video Transitions
Abstract: Video shot boundary detection (SBD) is a fundamental task in the field of video processing and analysis. It plays a critical role in various video applications such as content-based video retrieval, video indexing, editing, summarization, and browsing. Identifying shot boundaries helps segment a continuous video stream into distinct shots, each representing a meaningful visual unit. This segmentation is essential for organizing and interpreting video data efficiently. This study provides an …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 17–26 Read article
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Exploring Sustainable Alternatives: Liquid Wood Packaging for Ecofriendly Food Packaging
Abstract: In the modern era, environmental problems are increasing due to various reasons. Food packaging is one of the reasons why environmental problems take place. The present research paper delved into the potential of liquid wood as an innovative and ecofriendly alternative for chips and snack wrappers. Cellulose, hemp, flax, and lignin—substances once largely used for the creation of paper—are blended to create liquid wood. Many of the plastic-based products we …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 3, 2025 · pp. 40–45 Read article
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A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction
Abstract: The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 Read article
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Particle Swarm Optimization Framework for Accurate Battery State-of-Charge and Remaining Useful Life Estimation
Abstract: Accurate estimation of the State of Charge (SOC) and State of Health (SOH) of a battery is key to safe and efficient management of batteries in electric vehicles and energy-storage systems. However, it is challenging due to high nonlinearity, varying operating conditions, measurement noise, and limited access to comprehensive electrochemical parameters. Traditional data-driven models often generalize poorly and require heavy tuning, which can produce unstable predictions. To address these problems, …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 53–64 Read article
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AI Voice Detection Tool
Abstract: In today’s digital era, distinguishing between AI-generated and human voices is more important than ever. This project introduces an AI-based voice detection system designed to accurately identify synthetic voices, ensuring security and authenticity across various applications like cybersecurity, media verification, and fraud prevention.Our system works by analyzing incoming audio samples and comparing them against a diverse database of both AI-generated and real human voices. Using advanced machine learning and signal …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 1, 2026 · pp. 1–8 Read article
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A Review Paper on Lean Manufacturing Implementation Techniques
Abstract: Lean manufacturing was initially designed to reduce waste and maximise resource usage. Later, lean wasdeveloped in response to the competitive and ever-changing business environment. Organizations are compelled to deal with difficulties and complications because of the business environment's rapid change. The ability of any business, whether manufacturing- or service-focused, to consistently and methodically adapt to these changes in order to increase the value of its products may ultimately determine whether …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 2, 2024 · pp. 1–9 Read article
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Sustaining Investing with SIP: Nurturing Wealth and a Better Future
Abstract: Sustainable Investing with SIP encapsulates the idea of aligning financial goals with responsible investing practices for a more sustainable and prosperous future. SIP (Systematic Investment Plan) signifies a disciplined and systematic approach to investing, where individuals commit to regular contributions towards mutual funds at set intervals, fostering a sustainable and long-term investment strategy. Wealth accumulation implies the gradual growth and nurturing of wealth over time through SIP, emphasizing the patient …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 1, 2024 · pp. 30–35 Read article
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The Study of Gravimetric Thermal Analysis and Some Physical Properties of a Binary Polymeric Mixture of Unsaturated Ester and Peach Seed Powder
Abstract: Strengthening polyester resin and increasing its hardening was studied by adding peach seed powder. We also studied how to change the thermal properties after strengthening the resin by adding different weight percentages of peach seed powder (5%, 10%, 15%). The thermal properties of polyesters were studied before and after cementing, which included thermogravimetric analysis (TGA) and treatment at different temperatures (21, 51, 81, 121, 151ºC.) The effect of acidic functions …
Published in Journal of Polymer & Composites · Vol. 11, Issue 2, 2023 · pp. 33–46 Read article
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DFT/Data Guided Predictive Modelling of Absorption Maxima in the OLED Rubrene Derivatives
Abstract: This study investigates the optical properties of rubrene derivatives to develop an accurate predictive model for absorption maxima using computational chemistry and chemoinformatic techniques. We benchmarked various quantum chemical methods, identifying that the M06-2X/aug-cc-pVDZ method in dichloromethane (DCM) provided the strongest correlation with experimental data. Key molecular descriptors such as band gap, ionization potential, and electrophilicity index were calculated and analyzed using principal component analysis (PCA) to identify significant factors …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 41–56 Read article