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295 articles for “ML”
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Using Artificial Intelligence for The Design of Polymeric Drug Delivery Systems
Abstract: AI is cost effective and time efficient process. Artificial intelligence is a method which uses high speed calculation, the improvement regarding algorithm along with collection about biological and chemical features in pharmaceutical exploration and development .Present day because continuous progress towards machine learning (ML),Artificial intelligence an effective statistics analysing technology might have been broadly utilized in drug design .In pharmaceutical exploration and research employ of AI in target identification, compound …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1018–1027 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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Production of Bio-Ethanol from Mixed Fruit Pulp
Abstract: Speedy depletion and the continuously increasing cost of fossil fuels, is forcing the world to switch to renewable energy and perennial fuels. Among the different sources of renewable energy, bio-ethanol appears as a potential bio-fuel, which could be produced by a variety of biomasses available in abundance. This article mainly focuses on the utilization of completely waste mixed fruit pulp for bio-ethanol production. Bio-ethanol was extract from waste mixed fruit …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 3, 2024 · pp. 55–61 Read article
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Textual Clues to Stress: A Machine Learning Approach
Abstract: Nowadays, numerous individuals utilize social media platforms to share tweets about their daily lives, which often reflect their mental well-being. Recognizing and managing stress is essential before it becomes a serious issue. Each day, a significant volume of informal messages is posted on discussion forums, blogs, and social networking sites. This study introduces a method for detecting stress using information gathered from social media, with a focus on Twitter. The …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 72–76 Read article
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IoT-based Heart Attack Prediction System Using Machine Learning
Abstract: Heart disease, particularly heart attacks, is one of the leading causes of mortality worldwide. Timely detection and prompt intervention play a vital role in significantly improving the survival rates of individuals at risk of cardiac events. Unfortunately, most traditional healthcare systems are not equipped with mechanisms for continuous, real-time monitoring of patients' cardiovascular health. This limitation makes it extremely difficult for healthcare providers to identify warning signs early enough to …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 2, 2025 · pp. 1–5 Read article
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Artificial Intelligence in Pharmacovigilance: Improving Drug Safety
Abstract: Artificial intelligence (AI) is revolutionizing pharmacovigilance (PV) by enhancing the detection, assessment, and prevention of adverse drug reactions (ADRs). This review examines how AI technologies – such as machine learning (ML), natural language processing (NLP), and big data analytics – tackle existing challenges in pharmacovigilance (PV), including issues like underreporting, large data volumes, and inefficiencies in data processing. AI improves drug safety by automating data collection, enabling real-time adverse event …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 1–16 Read article
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Computational Simulations in Drug Discovery: Modeling Protein Folding and Drug Binding
Abstract: Computational simulations have become essential tools in drug discovery, offering unprecedented insights into molecular behavior at the atomic level. These simulations, particularly in the domains of protein folding and drug binding, allow for the exploration of complex biological systems that are often difficult to study experimentally. Protein folding, a critical aspect of drug discovery, involves the transition of a polypeptide chain from an unfolded to a biologically active structure. Understanding …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 23–29 Read article
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Pharmacovigilance and drug safety current trends and challenges
Abstract: Pharmacovigilance and drug safety are critical areas of focus in healthcare, aimed at monitoring the safety and efficacy of pharmaceutical products throughout their lifecycle. This review explores current trends, emerging technologies, and challenges in pharmacovigilance, emphasizing their impact on public health and regulatory practices. With the increasing complexity of global pharmaceutical markets, pharmacovigilance systems are evolving to integrate real-time data analytics, artificial intelligence (AI), and machine learning (ML) to detect …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 1, 2025 · pp. 19–27 Read article
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FLUTTERCHAT: A Real-time Firebase Chat Application with AI-based Chatbot
Abstract: Recently, the development and deployment of chatbots have gathered significant attention from both developers and researchers. Chatbots represent AI-driven conversational systems capable of understanding and responding to human language using advanced techniques like Natural Language Processing (NLP) and Neural Networks (NN). A cutting-edge real-time chat application has been crafted using Flutter and OpenAI, seamlessly integrating an AI-powered chatbot with an innovative image generator to enrich user interaction and engagement. The …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 42–51 Read article
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An Intelligent Modelling system for Automotive Vehicles
Abstract: In this paper it’s about the development of artificial intelligence that has fuelled technological advancements. Self-driving automobiles are an example of an innovative development. Nowadays, you may work or sleep in your car while driving to your destination without touching the steering wheel or accelerator. This project aims to create a workable model of a self-driving car capable of traveling on multiple tracks, including curved, straight, and straight followed by …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 1, 2025 · pp. 32–40 Read article
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Modeling and Analysis of a Diaphragm Micropump with Annular Actuation Using Bond Graphs
Abstract: Micropumps have been around for a while and are utilized for many things, including electrical cooling and biomedical applications. Numerous researchers have experimented with varying the chamber, diaphragm, pumping mechanism, or actuation mechanism materials to improve the device's performance. Despite this, the micropumps employed in the practical applications mentioned above fall short of meeting the necessary flow rates and pressure. In this study, annular actuation is proposed to enhance performance. …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 2, Issue 2, 2024 · pp. 34–48 Read article
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A Sensitive SPE-ECD-GLC Procedure for Analyzing Simazine Quantitatively in Food Products
Abstract: Short and simple solid-phase extraction (SPE) method interfacing and hyphenating gas liquid chromatographic-electron capture detection (GLC-ECD) method has been developed for the qualification and quantification of simazine in some daily used agro products. United States Pharmacopeia G-42 gas chromatography stationary phase with ZB-35a, HTb Inferno-cZ (Zebron, Za) capillary column with an enlarged and extended temperature range of –60° to 400°C and electron capture detector was selected correlating some chemical, physical …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 3, Issue 1, 2025 · pp. 20–27 Read article
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Assay of the Antitrypanosomal Activity of Ziingiber Officinale Extract in Wister Rats
Abstract: This research investigated the antitrypanosomal effects of Zingiber officinale in rats infected with Trypanosoma brucei brucei. Twelve adult rats, 7 weeks old and of both sexes, were randomly divided into six groups (1 through 6), with each group consisting of two rats. All six groups (1–6) were intraperitoneally injected with 0.1 ml of blood containing 10⁶ Trypanosomes/ml. Groups 1–4 received daily intraperitoneal doses of the plant extract at concentrations of …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 1, 2025 · pp. 32–37 Read article
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Comparative Investigation of Solar Still by Varying Basin Water Depth and Integrating Energy Storage Material and Steel Wool Fibre
Abstract: The main obstacle to human life in the modern age was the unequal distribution of drinking water on Earth. The demand for drinking water is increasing due to population growth and industrial exploitation, while supply levels are essentially unchanged. Because of its simplicity in construction, techno-economic advantages, and environmental friendliness, solar energy is still regarded as one of the best methods for turning saline into potable water. The main disadvantage …
Published in Trends in Machine design · Vol. 12, Issue 1, 2025 · pp. 1–11 Read article
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Emerging Trends in Membrane-Based Gas Separation Technologies
Abstract: Membrane technology has emerged as a groundbreaking solution in various fields, revolutionizing industries such as water treatment, energy production, biomedicine, and environmental protection. Over the past few decades, significant advancements have been made in membrane materials, fabrication techniques, and performance optimization. With the growing global demand for efficient and sustainable separation processes, research has increasingly focused on enhancing membrane permeability, selectivity, and durability to improve performance across various industries, including …
Published in International Journal of Membranes · Vol. 2, Issue 1, 2025 · pp. 16–22 Read article
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AI-Driven Handwriting Identification and Verification Using Textural Features
Abstract: The last few decades have seen handwriting recognition and verification earn their mark in areas like forensics, healthcare, education, and digital security. This study delves into the role of artificial intelligence (AI), machine learning (ML), and deep learning techniques in handwriting analysis. It highlights the extraction of textural features as a precursor to identifying narrows between original handwriting and its forgery, whereby a few distinctive patterns such as stroke width, …
Published in International Journal of Electronics Automation · Vol. 3, Issue 1, 2025 · pp. 35–44 Read article
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Machine Learning Revolutionizing Server Management and Performance
Abstract: The modern data center is a complex and dynamic environment, grappling with ever-increasing workloads, stringent performance demands, and the constant pressure for cost optimization. As such, applying machine learning (ML) directly to the server infrastructure offers a powerful avenue for achieving advanced automation, resource optimization, and proactive problem resolution. This article explores the transformative potential of integrating machine learning into server systems, leveraging insights gleaned from the abstract and conclusion …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 36–44 Read article
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Predicting Multiple Diseases Using Machine Learning: A Data-Driven Approach
Abstract: The increasing prevalence of chronic and life-threatening diseases highlights the need for innovative healthcare solutions that enable early detection and proactive management. The Multiple Disease Prediction Platform is a web-based system utilizing machine learning (ML) and deep learning (DL) algorithms to analyze user-inputted health data, generating real-time predictions of potential health risks. By leveraging Python’s Streamlit library, the platform provides an interactive and accessible diagnostic experience, eliminating the need for …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 16–35 Read article
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Discovery Tools and Services for Libraries: Transforming Access to Knowledge in the Digital Age
Abstract: The digital transformation of libraries has led to the emergence of discovery services as pivotal tools for enhancing resource accessibility, usability, and research efficiency. This article explores the evolution, functionality, and impact of discovery services in academic and public libraries. Unlike traditional online public access catalogues (OPACs), discovery services consolidate diverse information sources—such as books, journals, databases, institutional repositories, and open-access content—into a single, user-friendly interface. By integrating advanced technologies …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 1, 2025 · pp. 51–56 Read article
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Evaluation of Raw Cow Milk Preservation Using Extracted Mango Seed Kernels and Rosemary Leaves Powder, Ethiopia
Abstract: The study aimed to evaluate the raw cow milk preservation using extracted mango seed kernels and rosemary leaves powder. Fresh cow milk samples collected aseptically from Debre Birhan University farm. The fresh cow milk treated at different concentrations (0.5, 1.0 and 1.5%) of ethanol extract of mango seed kernel, rosemary leaves and equal mix of both extracts with 100 ml of milk then store at room temperature. Mango seed kernels …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 2, 2025 · pp. 20–28 Read article