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297 articles for “Visual effects”
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Customer Segmentation for Enhancing Customer Centric Business
Abstract: Customer segmentation is grouping customers based on similarities so companies can approach each group for marketing effectively and appropriately. Customer segmentation is important for enhancing customer centric business for gaining retention among customers by campaigning them using better marketing strategies, causing more institutional benefit. This paper segments customers by analyzing their characteristics based on both demographic and behavioral attributes using K-Means clustering algorithm and Self-Organizing Maps (SOM). K-Means is a …
Published in E-Commerce for Future & Trends · Vol. 8, Issue 1, 2021 · pp. 17–31 Read article
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The Feasibility of Bilateral Tympanoplasty in Single Sitting in Bilateral Chronic Otitis Media
Abstract: Bilateral tympanoplasty is not a routinely performed surgery by otosurgeons. The reason being is the risk of inducing sensorineural deafness and fear of bilateral ear packing post operatively that may render patient’s total deaf. The aim of the study is to assess the feasibility of bilateral tympanoplasty in single sitting in bilateral chronic otitis media. 50 patients with bilateral inactive mucosal type COM underwent bilateral tympanoplasty in same sitting. The …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 4, Issue 3, 2015 · pp. 22–27 Read article
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Simulation Study of Process Variations in Double Gate Junctionless Field-Effect Transistors
Abstract: This work discusses the process variations in symmetrical double-gate (DG) junctionless (JL) field-effect transistors (FETs) by device simulation. Output I-V characteristics along with subthreshold slope increase, DIBL variations with drain voltage and threshold voltage shift variations are systematically analyzed with the general variability issues including oxide thickness, channel thickness and doping concentration. Potential distribution in the body channel region is also analyzed. Optimum values of the variability factors are considered …
Published in Journal of Semiconductor Devices and Circuits · Vol. 2, Issue 2, 2015 · pp. 18–27 Read article
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Digital Home Workout Assistant using Kinect and Unity
Abstract: Nowadays, people’s lifestyle becomes fast and growing and also each and every people desire to look young and live healthily. This phenomenon has caused people to blindly follow fitness trends without proper cognition. It may lead to serious injuries or other side effects. The main prominence of this system is to assist society by monitoring and guiding proper exercise posture, which rectifies their well-being. This paper is about Kinect based …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 1, 2019 · pp. 7–17 Read article
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Assessment of Polycystic Ovarian Syndrome with Emphasis on Imaging Modalities
Abstract: Polycystic Ovarian Syndrome (PCOS) is a higly prevalent hormonal disorder that affects women during their reproductive age. It is linked to a wide range of health concerns ,including disturbances in reproductive functions, metabolic abnormalities and an increased risk of cardiovascular diseases. Ultrasonography plays a crucial role in identifying polycystic ovarian morphology, which constitutes one of the key diagnostic criteria under the Rotterdam consensus. This prospective cross-sectional observational study was conducted …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 · pp. 48–54 Read article
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Prospects of Using Geographic Information Technology in the Public Health Sector of Sri Lanka
Abstract: Geographic information technology has a significant potential of benefiting the health industry in both public and private sectors. With its ability in data management, integration and visual interpretation, geographic information system (GIS) can be used as a powerful tool for the advancement of health sector of the country. GIS has high prospects in disease tracking, health surveys, health mapping and analysis of demography, man power, service networks, facility accessibility, health …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 1, Issue 3, 2012 · pp. 12–22 Read article
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In silico analysis of Abrus precatorius L. as a potential agonist of PPARγ : A novel approach to the treatment of diabetes
Abstract: Diabetes mellitus is a chronic disorder that is characterized by a lack of insulin secretion by the pancreas or a defect in insulin action, or both. If diabetes is not controlled, over time it can cause damage to blood vessels and nerves, leading to life-threatening complications such as, kidney damage, heart disease and vision impairment. It can also weaken the immune system, making patients more prone to infection. Although treatments …
Published in International Journal of Molecular Biotechnological Research · Vol. 3, Issue 2, 2025 · pp. 13–24 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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Extraction of speech Emotion Features Using MLP Classifier
Abstract: Speech Emotion Recognition is a thriving research topic. Speech emotion recognition use MLP classifier to categorize the emotions from the speech. This Speech is also used as the medium, through which one can express their feelings and mind state in human to machine interaction. The case is very easy where two humans communicate along with their emotions as by nature, they can recognize each other’s emotions. But for computer, if …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 3, 2022 · pp. 11–19 Read article
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Assessing the Integration of Information Technology Across Key Areas and Functions in Quantity Surveying Professional Practice
Abstract: Information Technology (IT) has had an immeasurable impact on business systems and processes, in all spheres of the economy including construction. The study assesses the integration of technology within the construction sector by Quantity Surveying professionals in Nigeria. This is against the backdrop that the integration of technology into the practice of Quantity Surveying has had a profound effect on the profession in Nigeria and globally. Technological revolution has fundamentally …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 1, 2025 · pp. 1–10 Read article
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Optimization of Window Sizes based on Different Climatic Conditions
Abstract: Different climatic conditions have an impact on a building's performance. Climate-related factors will also affect how energy-efficient a structure is. As a result, making comparisons between buildings in various climate zones will produce inappropriate results. It is crucial to understand how much a building's energy performance can vary depending on the climate. By running energy simulation on the typical building, the climatic condition ratio is established for various climate zones …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 1, Issue 1, 2023 · pp. 33–43 Read article
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Using Multitarget Molecular Docking to Examine the Antiviral Potential of Clerodendrum Phlomidis against Measles
Abstract: Objective: Measles, a viral disease caused by a member of the Paramyxoviridae virus family, is highly contagious and characterized by a respiratory illness and a maculopapular rash on the skin. Children are the main victims of the illness. In the context of drug development, this study investigates the efficacy of phytocompounds derived from Clerodendrum phlomidis against the target protein of the measles virus. Methods: The 7SKS protein was retrieved from …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 2, 2023 · pp. 32–42 Read article
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Evaluating Pain and Quality of Life Improvement in Endometriosis: A Prospective Interventional Study
Abstract: Background: World-wide about 10% of reproductive-age women affects with endometriosis, drastically reducing their quality of life. This study assessed the effectiveness of a combination medicinal and lifestyle intervention approach in controlling endometriosis-related pain and enhancing quality of life. Methods: A prospective interventional study was conducted with 350 women diagnosed with endometriosis between August 2022 to September 2024. Participants received a structured intervention combining hormonal therapy, pain management, and lifestyle modifications. …
Published in Research and Reviews: A Journal of Medicine · Vol. 15, Issue 1, 2025 · pp. 38–45 Read article
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Kumkuma Nasya for Migraine: Randomized Double-blind Study with an Insight into Vatavriddhi and Caloric Values
Abstract: Introduction: Ardhavbhedaka Roga of Ayurveda can be correlated with migraine. Exaggeration of Vata plays the most important role in the pathogenesis of pain. We used a model of low caloric values, as it is suitable and conclusive for the assessment of Vatavriddhi. As per Sharangadhar Samhita, Kumkuma (saffron) Nasya (nasal administration) is said to be effective in Ardhavabhedaka (migraine), owing to the exaggerated of Vata and Rakta. Aim: Therefore, this …
Published in Research & Reviews : Journal of Herbal Science · Vol. 11, Issue 1, 2022 · pp. 36–44 Read article
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Continuous Learning in Language Models: A Survey of Streaming Data Processing Techniques
Abstract: The integration of continual learning with Large Language Models (LLMs) and Natural Language Processing (NLP) represents a transformative step toward creating adaptive, intelligent systems capable of functioning effectively in ever-changing environments. Traditional LLMs are typically trained on large, pre-collected datasets, which limits their ability to evolve as new information emerges. Continual learning, in contrast, enables models to acquire new knowledge incrementally without the need for complete retraining, thereby supporting long-term …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 23–34 Read article
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Research on Selection Method of the Optimum Alternative Using Improved AHP Method in NSDL Environment
Abstract: In this paper, we have considered the development of a decision-making tool to optimize the design of the ship-roll fin stabilizer using improved analytical hierarchy process (AHP) in a network-oriented system description language (NSDL) environment developed by combining the advantages of Petri nets and object-oriented programming languages. First, we have considered the network-oriented system description language NSDL, a new software development tool that combines the advantages of Petri nets and …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 1, 2025 · pp. 46–56 Read article
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A Molecular Docking Study: Targetting HIV-1 Integrase Protein Against Selected Phytocompounds from Calophyllum Lanigerum
Abstract: Objectives: The most common form of HIV that causes AIDS is HIV-1. The World Health Organization has estimated roughly 75 million plus HIV-1 infections till date and roughly 40 million deaths (as of 2021). Thus, this study was done to identify natural compounds from Calophyllum lanigerum, a medicinal plant largely endemic to South-East Asia, to inhibit the spread of this disease. It did so by using molecular docking methods, Lipinski …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 2, 2023 · pp. 43–55 Read article
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Intelligent Brain Tumor Diagnosis with AI-Based Classification* * Harnessing Deep and Machine Learning for Tumor Identification
Abstract: Brain tumors have become a leading cause of cancer- related deaths, posing significant health risks to many patients. This urgent medical challenge calls for rapid, automated, and reliable techniques to detect brain tumors accurately. Timely and precise tumor identification is crucial for devising effective medical plans that have the potential to save lives and improve patient outcomes. By leveraging advanced image processing methods, healthcare professionals can enhance their diagnostic capabilities …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 · pp. 51–58 Read article
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Recognition and Classification of Clothing Pattern and Color
Abstract: Choosing clothes with complex patterns and colors is a challenging task for visually impaired and blind people. The automatic clothing pattern and color recognition is also a challenging problem due to the large intra-class variation, rotation, scaling and illumination. Here, we recognize clothing patterns in four categories (plaid, striped, pattern-less, and irregular), and identify 11 clothing colors (red, orange, yellow, green, cyan, blue, purple, pink, black, grey, and white). The …
Published in Recent Trends in Electronics Communication Systems · Vol. 3, Issue 2, 2016 · pp. 33–41 Read article
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Identification of Safest Path using Spatial Analysis
Abstract: Safety is of critical importance to an individual while travelling. The goal of this project is to provide an effective solution to the masses to ensure their safety when travelling from one place to another. The proposed system is developed by building a robust model by using police FIR data and crime news articles scraped from the web. Techniques from Natural Language Processing(NLP) have been used to convert the unstructured …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 2, 2020 · pp. 17–24 Read article