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1959 articles for “C-f” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Machine Learning Innovations for Effective Spam Comment Filtering in Social Networks
Abstract: The increasing prevalence of social media platforms has revolutionized communication, fostering unparalleled levels of connectivity and data exchange. However, the widespread increase in spam comments presents a serious threat to the integrity of online discussions, potentially undermining the quality of interactions. To confront this issue, our proposed model utilizes machine learning techniques to bolster spam comment detection across various social media platforms. This endeavor involves a thorough investigation encompassing data …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 19–24 Read article
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Effect of Chemically Treated Plant Cellulose on Mechanical, Fatigue and Fracture Toughness Behaviour of Polyester Composite
Abstract: In this research study, the effect of chemically treated plant cellulose on the mechanical, fatigue, and fracture toughness behaviour of polyester composites was investigated. Ramie plant cellulose fibers were used as the reinforcing material, and polyester resin was used as the matrix material. Three different chemical treatment processes, namely alkalization, acetylation, and etherification, were used to adapt the superficial chemistry of the fibers and advance their compatibility with the polyester …
Published in Journal of Polymer & Composites · Vol. 11, Issue 3, 2023 · pp. 21–29 Read article
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Fuzzy C-Means Clustering for Effective Segmentation and Classification of Brain Tumors in MRI Scans
Abstract: The paper discusses the importance of detecting and classifying brain tumors via MRI for effective treatment. It proposes a framework utilizing the Fuzzy C-means clustering algorithm for segmentation, demonstrating improved performance through real dataset validation. The model is trained on a large, annotated MRI dataset to identify and classify different tumor types, enabling machine learning-based classification into benign and malignant tumors. The MATLAB-based solution automates brain tumor feature extraction, aiding …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 23–28 Read article
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Fire Safety in Healthcare Facilities: An Indian Perspective
Abstract: Fire protection and safety measures in hospitals are of utmost importance to ensure the safety of patients, staff, and visitors. Due to the patients' limited mobility, hospitals are more susceptible to fire disasters. Short-circuits, basements being used as storehouse, inappropriate storage of flammable liquids, improper power supply load, false ceiling panel lined with thermocol, faulty electric wirings, and overheating leading to burning of wires are some of the common causes …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 1, 2026 · pp. 8–12 Read article
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Mechanical Characteristics of Naturally Woven Coconut Sheath/Short Sisal Fiber Reinforced Polymer Hybrid Composites
Abstract: This study presents the outcomes of an experimental investigation focusing on the tensile, flexural, impact and water absorption properties of unsaturated polyester resin reinforced with naturally woven coconut sheath and short sisal fibers. Sisal fiber, characterized by its abundance, affordability, degradability, and robust strength, serves as a compelling reinforcement. The naturally woven coconut sheath fibers, discreetly found in the hidden sections of coconut branches, offer an inexpensive, biodegradable option with …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 34–44 Read article
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Bridging the Gap Between Product Development and Entrepreneurship in Engineering Curriculum: A Framework-Based Approach Aligned with NEP 2020
Abstract: Despite advancements in technical education, Indian engineering graduates frequently enter the workforce lacking critical competencies in product development (PD) and entrepreneurship. This imbalance has drawn scrutiny from industry and policymakers alike, with national directives such as the National Education Policy (NEP 2020) emphasizing a shift toward “experiential, holistic, integrated and inquiry-driven” learning models. Similarly, the All-India Council for Technical Education (AICTE) has embedded innovation labs, internship mandates and entrepreneurship courses …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 87–100 Read article
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Procedure for Conventional Facial Emotion Detection Algorithms Based on Machine Learning
Abstract: Researchers in psychology, computer science, linguistics, neurology, and allied fields have become more interested in a human-computer interface system for autonomous face recognition or facial expression recognition. This study has recommended an Automatic Facial Expression Recognition System (AFERS). The proposed methodology consists of face detection, feature extraction, and facial expression identification processes. The initial phases of the face detection procedure include skin color identification using the YCbCr color model, illumination …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 07–13 Read article
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Foods of the False Upside-Down Catfish (Synodontis nigrita) from Otamiri River, Rivers State, Nigeria
Abstract: The false upside-down catfish (Synodontis nigrita) from Otamiri River was studied for its food choices in its natural environment by examining its stomach content. Samples of the species were studied using the frequency of occurrence, and number methods. The most important food item (Food Ranking) was determined by index of food significance (IFS). The IFS was estimated as a function of percentage number of food items in the stomach to …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 1, 2025 · pp. 1–5 Read article
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High Performance Multi-Valued Logic (MVL)Gate Design Using FinFET
Abstract: CMOS scaling faces challenges such as leakage, power dissipation, and short channel effects. Multi-Valued Logic (MVL) offers higher information density and reduced interconnections. This work presents a FinFET-based MVL gate design that improves electrostatic control, switching speed, and reliability. Simulation results confirm reduced leakage power and enhanced performance compared to conventional logic. The proposed architecture demonstrates scalability for advanced technology nodes. It also shows potential for low-power applications in portable …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 34–45 Read article
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Detecting the Failure Stages in Asphalt Concrete Through the Fatigue Life
Abstract: The signs of failure initiation in asphalt concrete through its service life may appear as cracking, rutting, or other types of distress after practicing dynamic stresses from vehicular loading. This work is concerned with detecting the failure initiation in asphalt concrete in the laboratory, and the role of binder content and constant strain level through a comprehensive testing program. Asphalt concrete mixtures were formulated with the optimal binder content, as …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 1, 2024 · pp. 21–27 Read article
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Leveraging Large Language Models for Personalized Document Summarization and Question Answering: An Architecture for Stoner-Friendly Chatbots
Abstract: This study presents a detailed framework for developing personalized chatbots that utilize large language models (LLMs) to process and extract information from extensive documents while effectively responding to user inquiries. The proposed system is designed to mitigate information overload by employing advanced natural language processing techniques, leveraging technologies such as OpenAI, LangChain, and Streamlit. By integrating these tools, the framework enhances knowledge retrieval, simplifies document comprehension, and improves overall productivity. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 88–93 Read article
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Japanese Encephalitis and Dengue Fever Co-infection
Abstract: Dengue virus (DENV) and Japanese encephalitis virus (JEV) are two significant pathogenic viruses that can cause severe encephalitis. Dengue and Japanese encephalitis are vector-borne illnesses.Arboviruses that are carried by mosquitoes are significant India's causes of death and morbidity The rainy season, when the vector population grows, is when both dengue and Japanese encephalitis transmissions peak. We still don't fully understand how the CNS is involved in dengue and Japanese encephalitis …
Published in International Journal of Tropical Medicines · Vol. 1, Issue 2, 2024 · pp. 14–18 Read article
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The War's Economic Effects in the Twenty-First Century, Both Locally and Internationally
Abstract: The essay looks at how wars in the twenty-first century have affected the economy both theoretically and practically. The idea of the "military economy" is emphasized. Analysis is done on the dynamics of military spending. The causes and forms of conflicts that have taken place in the past and are happening now are explained. Researching the economic effects of Russia's war in Ukraine is emphasized. The pre-war evaluation of nations' …
Published in International Journal of Trends in Humanities · Vol. 2, Issue 2, 2025 · pp. 14–21 Read article
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Coverage Driven Verification of Synchronous FIFO using UVM
Abstract: FIFO (first in first out) is a memory array in which the data written first into the memory will be read first with the help of the control signals read and write where the control signal write is used to write the data into the memory and the control signal read is used to read the data from the memory. To avoid the memory overflow and to know that whether …
Published in Recent Trends in Electronics Communication Systems Read article
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Synthesis and Characterization of Forsterite Incorporated HDPE Composites for Microwave Substrate Application
Abstract: High Density Polyethylene (HDPE) combined with dispersed forsterite (Mg₂SiO₄) powder was utilized to fabricate polymer matrix composites (PMCs) aimed at high-frequency microwave substrate applications. Forsterite powders were synthesized using the mixed oxide method, and their phase purity was confirmed by X-ray diffraction (XRD) analysis. The dispersion and morphology of the ceramic filler within the HDPE matrix were examined through Scanning Electron Microscopy (SEM), ensuring a homogeneous distribution essential for optimal …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 109–120 Read article
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Optimizing Green Fodder Availability: Strategic Roadmaps for Sustainable Dairy Development in the Tropics
Abstract: The growing demand for dairy products in tropical regions underscores the urgent need to optimize green fodder availability for sustainable dairy farming.The growing demand for dairy products in tropical regions underscores the urgent need to optimize green fodder availability for sustainable dairy farming. Green fodder serves as a vital source of nutrition for dairy cows, directly influencing milk yield, animal health, and overall farm profitability. However, challenges such as limited …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 11–30 Read article
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Parametric Investigations of Melt Flow Index for Nylon6-Mica Composite Based Hybrid FDM Filament
Abstract: The development of new hybrid filaments with improved mechanical and thermal properties has been driven by the increasing need for high-performance materials in additive manufacturing. This study explores the parametric investigations of the Melt Flow Index (MFI) for Nylon6-Mica composite-based hybrid Fused Deposition Modeling (FDM) filament. The investigation uses the Taguchi technique to examine how different extrusion temperatures, loads and the percentage of Mica filler affect the MFI, a critical …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 165–173 Read article
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A Conceptual Framework for AI-Integrated Metabolomics in Predictive Health Systems for Resource-Constrained Environments
Abstract: The increasing prevalence of non-communicable diseases (NCDs) continues to place a significant strain on healthcare systems, particularly in low- and middle-income regions where access to early diagnostic infrastructure is limited. Conventional healthcare approaches remain largely reactive, often detecting diseases at advanced stages when treatment effectiveness is reduced. This challenge underscores the need for predictive, cost-effective, and data-driven healthcare solutions. This study presents a conceptual framework that integrates metabolomics with artificial …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 2, 2026 Read article
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Acoustic Sensing for City Flow: Quasi-Supervised Recognition of Sirens and Traffic for Urban Mobility Intelligence
Abstract: This paper frames environmental audio as a mobility telemetry source, extending a benchmark urban-sound corpus with transportation-critical classes—ambulance, firetruck, police, and traffic—and training spectrogram-based models under a quasi-supervised regime to support real-time city operations; leveraging 10-fold protocols, class-weighted objectives, and audiospecific augmentations (time stretch, pitch shift, SpecAugment, PatchAugment), the system benchmarks multiple CNN backbones combined with self-supervised learning paradigms enable the extraction of rich, discriminative acoustic representations, achieving strong multi-class …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 42–50 Read article
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Forecasting of Crushing Strength of Sustainable Concrete by Employing Deep and Random Forest Machine Learning
Abstract: Sustainable concrete is one of the milestone of the concrete industry. This concrete fulfills the requirements of concrete manufacturing industry such as strengthen, Durability, environment friendly and many of other. With this properties of concrete, sustainable concrete is an ideal substitute for ordinary concrete in the concrete industry. In the 21th century Machine learning is a tool which is use to employ the characteristics of sustainable concrete by using deep …
Published in Journal of Polymer & Composites · Vol. 12, Issue 7, 2024 · pp. 41–46 Read article