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204 articles for “line detection”
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Trends of Antimalarial Resistance in Ethiopia and its Challenge on Malaria Control Program
Abstract: Antimalarial drugs resistance is one of the major obstacles for malaria control and curtails the life-span of several drugs. Resistance to well tolerated and effective antimalarial drugs such chloroquine and sulfadoxine-pyrimethamine (SP) has forced the switch of national policies to artemisinin-based combination therapy (ACT) for the treatment of falciparum malaria. The emergence of less sensitive clones of Plasmodium falciparum to the ACT drugs, shortly after its deployment, has posed a …
Published in Research and Reviews: A Journal of Medicine · Vol. 6, Issue 1, 2016 · pp. 38–44 Read article
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Helicobacter pylori Sialic Acid-Specific Surface Lectin Associated with Pathogenecity Island cag PAI
Abstract: Normal 0 false false false MicrosoftInternetExplorer4 Helicobacter pylori bacterium causing gastritis, duodenitis, non-ulcer dyspepsia, adenocarcinoma, MALT lymphoma and now-a-days causing hepatocellular carcinoma and cholengiocarcinoma has been studied for its surface antigens. There are many virulence factors which have been studied since many years. Cag-PAI is the site for virulence and causes mixed infections. Sialic acid is a type of glycan which is a surface lectin associated with adherence to cell …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 5, Issue 3, 2015 · pp. 10–17 Read article
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An Overview of Artificially Generated Neural Networks Inside the Brain’s Structure in an Alzheimer’s Disease Patient
Abstract: Alzheimer’s disease produces significant neuronal loss, while the precise mechanisms and timing are yet unknown. Other types of cell death, such necroptosis, parthanatosis, ferroptosis, and cuproptosis, need further investigation. Based on brain images of people with mild cognitive impairment, this study assesses artificial neural networks (ANNs) used to diagnose and predict Alzheimer’s disease (AD). This research was conducted considering growing recognition among researchers and medical professionals regarding the importance of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
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Employing Sweep Frequency Response Analysis for Diagnosing Condition of Power Transformer
Abstract: The power transformer being very expensive plays a tectonic role in power system. Reliability is apogee in power system. Any failure fringing power transformer may lead to substantial monetary loss depending on how much duration it is out of service. On-line monitoring and prognosis of power transformer helps the associated delegate to take decision on subject of maintenance, replacement or continuity of its operation. From accessible vivid methods for condition …
Published in Trends in Electrical Engineering · Vol. 6, Issue 3, 2016 · pp. 26–31 Read article
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Fingerprint and Face Recognition Based Attendance System for Exams
Abstract: In educational institutions, managing attendance efficiently and accurately is pivotal for ensuring academic integrity and administrative effectiveness. Traditional attendance tracking techniques, including human roll calls or barcode scanning, are laborious, error-prone, and vulnerable to fraud. Traditional methods of keeping track of attendance, including sign-in sheets and physical roll calls, are often time-consuming, prone to errors, and lack the security measures needed in many contemporary settings. Modern biometric technologies have made …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 3, 2024 · pp. 26–33 Read article
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Computer Aided Diagnosis of Breast Cancer using Machine Learning Techniques
Abstract: Breast cancer is one of the significant health problems that lead to early mortality in women, especially those between 40 and 55 years of age all over the world. In recent years, the number of breast cancer cases among women has risen significantly, making early and accurate diagnosis more important than ever. Computer-aided diagnostic (CAD) tools have become valuable in supporting radiologists by enhancing the precision of breast cancer detection. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 2, 2025 · pp. 1–11 Read article
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A Novel Approach to Design Underground Fault Locator in Power Cable
Abstract: AbstractIt is very difficult to find the exact location of cable fault in underground cables; generally, these problems occur in metropolitan cities. A large amount of money is invested in digging the earth. This problem leads to design this project to find out the exact location of the error occurs in the underground cables from the side of the feeder and liquid crystal display show the distance in kilometer and …
Published in Trends in Opto-electro & Optical Communication · Vol. 10, Issue 1, 2020 · pp. 31–35 Read article
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Coupled Plasmon Phonon Polariton Waves in Cylindrical Zinc Selenide (ZnSe) Semiconductor: A Theoretical Study
Abstract: Zinc Selenide (ZnSe) is a semiconductor material. In this study, Bloch hydrodynamical model is applied as a theoretical tool to investigate the coupling among plasmons, phonons and photons in the Zinc Selenide (ZnSe) semiconductor material. Here the geometrical shape of this semiconductor is taken cylindrical and surrounded with vacuum as a dielectric medium. Plasmons are the quanta of elementary excitations produced by the valence electron oscillations and phonons are the …
Published in Research & Reviews : Journal of Physics · Vol. 11, Issue 2, 2022 · pp. 1–5 Read article
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Topology and Geometry in Data Science: Persistent Homology and Beyond
Abstract: In recent years, the interplay between topology, geometry, and data science has gained substantial momentum, offering powerful frameworks to analyze and interpret complex datasets. Traditional statistical and machine learning methods often rely on linear or metric- based assumptions, which may fail to capture the intrinsic structure of high-dimensional or nonlinear data. In contrast, topological and geometric methods provide shape-oriented, scale- invariant tools that focus on the continuity, connectivity, and global …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 21–27 Read article
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Implementation of Anticipating Rainfall Using Machine Learning
Abstract: Rainfall forecasting is crucial for many aspects of our national economy and should help prevent major seasonal droughts. Since agriculture is a beloved profession in many states, some Asian countries are economically hooked to decline. Previous precipitation info is beneficial. Farmers are cancerous in managing their crops, resulting in economic progress for the country. downfall prediction is hard for earth science scientists because of unordering time and unordered quantity of …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 1, 2023 · pp. 1–8 Read article
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Detecting Electronic Circuitboard Thermal Abnormalities with Dynamic Hypernumbers
Abstract: This paper introduces the algebra of data acquisition using dynamic hypernumbers used in predicting thermal abnormalities with a rapid forecasting algorithm. Algebraic rules are defined for monitoring data from multiple sources. Each data source is considered a dynamic receptive synchronized hypernumber for building the resulting dynamic hypernumber. The algebraic dynamic hypernumberdefinition is used to present a low-complexity algorithm for identifying the thermal state of an electronic circuit board. The algorithm …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 3, 2023 · pp. 10–24 Read article
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Real-Time Edge Detection Camera Module Using Discrete Taylor Transform and Heat Equation (PDE): An Applied Mathematical Approach
Abstract: In modern digital signal processing, the capability for denoising and smoothing in real time is very important in scientific, engineering, and industrial applications. This paper presents an efficient hybrid framework that merges two mathematically sound methods, namely, DTT and PDE defined as the Heat Equation, to robustly denoise a signal with minimal distortion. The model addresses one of the most challenging tasks in signal restoration, which maintains the fidelity of …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 9–14 Read article
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Expression Profiling of Immunomodulatory Genes in Canine Adipose Tissue–Derived Mesenchymal Stem Cells
Abstract: Adipose tissue–derived mesenchymal stem cells (AT-MSC) represent a heterogeneous population of self-renewing, multipotent progenitor cells residing in the stromal compartment of adipose tissue. Canine adipose tissue-derived mesenchymal stem cells have attracted significant interest in regenerative medicine due to their therapeutic potential in naturally occurring canine diseases and their translational relevance to human medicine. In the present study, canine adipose tissue–derived MSCs (cAT-MSCs) were isolated and differentiated into osteogenic, chondrogenic and …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 15, Issue 1, 2026 Read article
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Smart-Waste-Management-System
Abstract: The rapid urbanization and increasing waste generation pose significant challenges to traditional waste management systems, necessitating innovative solutions that integrate economic principles and management strategies. In order to enhance trash transportation and recycling procedures, this paper investigates the deployment of a Smart trash Management System that makes use of Internet of Things (IoT) components and machine learning algorithms. By applying economic principles such as cost-benefit analysis and resource allocation, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 18–27 Read article
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Induction of G1 Phase Cell Cycle Arrest and Apoptosis in Breast Cancer MCF-7 Cells by Sulphonamide Derivative CID-6861424
Abstract: Breast cancer is most frequently detected and leading cause of cancer death in women worldwide. 80% of the breast cancer are estrogen receptor positive and the presently available drugs are ineffective either due to intrinsic resistance or due to acquired resistance. Sulfonamide compounds are a class of compounds showing activities like, antibacterial, antiviral including antitumor. In the present study we have investigated the anti-cancerous activity of sulfonamide derivative CID-6861424 on …
Published in Research and Reviews: A Journal of Toxicology · Vol. 9, Issue 2, 2019 · pp. 1–17 Read article
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A Study on Chemical Composition in Temperature Sensor
Abstract: As the demand for precision thermal monitoring in extreme environments – such as aerospace propulsion systems and micro-electromechanical systems (MEMS) – continues to escalate, the chemical stability of temperature sensing elements has become a critical focal point. This study investigates the correlation between the chemical composition of thin-film resistance temperature detectors (RTDs) and their operational longevity under thermal cycling. By employing X-ray Photoelectron Spectroscopy (XPS) and Energy-Dispersive X-ray Spectroscopy (EDS), …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 16, Issue 2, 2026 · pp. 1–7 Read article
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AI-Based Criminal Identification System A Breakthrough Approach
Abstract: Identifying and locating a perpetrator is a time-consuming and difficult process. The perpetrators are growing more skilled, leaving no biological evidence or fingerprint impressions at the crime scene. Using cutting-edge face recognition technology is a quick and easy solution. Through the use of linear programming, this research presents an innovative approach to classifying all face tracks collectively. In addition to the following, it incorporates: a novel method for extracting more …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 1, 2024 · pp. 1–14 Read article
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Innovations in Tuberculosis Management: Advancements in Drug-Resistant TB Treatment and Rapid Diagnostics
Abstract: Tuberculosis (TB) remains one of the deadliest infectious diseases worldwide, exacerbated by the increasing prevalence of drug-resistant strains, such as multidrug-resistant (MDR-TB) and extensively drug-resistant TB (XDR-TB). Despite advancements in first-line and second-line treatments, resistance to conventional antibiotics has complicated therapeutic strategies, necessitating novel approaches. This mini review explores emerging advancements in TB treatment, including gene editing technologies, such as CRISPR, which offer potential for precise targeting of drug-resistant bacterial …
Published in International Journal of Antibiotics · Vol. 2, Issue 2, 2025 · pp. 1–7 Read article
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Bacteriological and Yeast Profile in Clinical Samples from Immunocompromised Persons (Especially in HIV and Cancer Patients) and Their Antimicrobial Susceptibility Pattern
Abstract: AbstractImmunocompromised host describes a patient who is on increased risk to acquire infection due to congenital or acquired abnormality of the immune system. In the past few decades, the population of immunocompromised hosts has expanded enormously, due to the increased use of immunosuppressive conditions like HIV, cancer, etc. This study was planned to know the spectrum of organisms and trend of antimicrobial susceptibility pattern in immunocompromised patients. All hospitalized patients …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 7, Issue 1, 2017 · pp. 1–8 Read article
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Review on CBIR Image Based on Colour, Texture and Shape Features of Biomedical Image Applications
Abstract: This study seeks to understand how different image enhancing methods affect the sensitivity of contrast-based textural measures and morphological traits derived from high-resolution satellite data (three-band SPOT-5). The built-up/non-built-up detection framework is the backbone of every biomedical application. Using supervised learning while working with a low-resolution reference layer reduces uncertainty and boosts the reference layer's quality in a roundabout way. The image's histogram is recalculated based on contrast in order …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 8–13 Read article