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456 articles for “Features extraction”
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An Evolution of the Pixel Embedding Techniques in Image Based Adaptive Steganography
Abstract: The word “Steganography” was basically derived from the Greek words with the meaning “covered writing.” This paper presents some of the main adaptive image steganography approaches. Many algorithms have been presented; in almost all the algorithms the approach is to embed the secret data in the images. Here we are discussing about adaptive steganography which is based upon spatial domain and frequency domain with an additional layer of mathematical model. …
Published in Journal of Web Engineering & Technology · Vol. 1, Issue 1, 2014 · pp. 1–18 Read article
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A Real-time Automated Drowsiness Detection of Driver Using the Visual Behaviour and Machine Learning Technique Through WebCam
Abstract: In our day-to-day life, many accidents can occur due to the drowsiness of the driver. It is one of the causes of road accidents. To prevent accidents, we proposed a system to detect the drowsiness of driver by measuring the eye aspect ratio, mouth yawning and alert the driver. It will save the life of a person. In this, the driver fatigue is continuously captured by webcam. Image processing methods …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 2, 2023 · pp. 10–19 Read article
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Natural Language Processing-Based Plagiarism Detector
Abstract: Plagiarism is the act of taking another's work and claiming it as his/her own without giving the credit. Plagiarism is a grave concern in many fields like education, literature, business, etc. The project aims for text and image plagiarism detection employed by a web application containing four modules. Text plagiarism is detected when the input is either text or PDF. For PDF, the text extraction is done from the PDF …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 27–35 Read article
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License Plate Detection and Recognition of Moving Vehicle Using Open CV
Abstract: License plate detection and recognition system is to localize and extract license plate number of moving vehicle in real time environment. The system works on captured video stream of moving vehicle obtained from real working environments. This system is divided into four steps—video acquisition, vehicle detection, license plate detection, and character recognition. Detection of moving objects, i.e., vehicle in video streams is the first relevant step. For vehicle detection, we …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 32–42 Read article
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Development of Various Application of NLP for Mizo Language
Abstract: This paper presents a survey on Application of NLP (Natural language Processing) for Indian Language and we mainly focused on Mizo Language. Indian Languages are morphologically well-off and agglutinative that adds one extra fence. Mizo Languages known as Lushai language; it belongs to the branch of Sino-Tibetan language family. It is the official language of Mizoram, the North Eastern State of India. Moreover, it is a morphologically language with genetic …
Published in Recent Trends in Programming languages · Vol. 7, Issue 1, 2020 · pp. 7–15 Read article
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Call Quality Measurement and Application in Telecommunication Network
Abstract: The measurement of call quality from end-users’ perspective is emerging area of research on speech quality in telecommunication networks. The research is focused on deriving the call quality parameters from end-users’ perspective; and visualize and escalate the critical call quality. Also proses the method of redemption of call charges based on call quality parameters perceived. The research proposed and developed measures, for certain call parameters during the call and provide …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 3, Issue 1, 2016 · pp. 8–19 Read article
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Assessing the Performance of DL Methods in Handwritten Digit Recognition
Abstract: Handwritten digit recognition is a computer vision task that involves the automatic identification and classification of hand-written digits. The objective is to develop models capable of accurately recognizing and distinguishing digits handwritten by humans. With the development of machine learning and deep learning techniques, this field has advanced remarkably. The convolutional neural network (CNN) is the most often used technique for this purpose. By utilizing CNN, the model can learn …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 25–32 Read article
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Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 Read article
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An Enhanced MPPT Technique by Using Fuzzy Logic Controller
Abstract: Abstract— Renewable energy sources occupies huge place now a days. Solar power generation generates electricity by using solar panels. To increase the power, the system attached to the improved techniques. This paper presents a review of some different types of PV cell techniques i.e. MPPT technique and an enhanced result of FLC. In this paper, a complete description and then classification of the MPPT techniques have made based on features, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 6, Issue 2, 2019 · pp. 1–10 Read article
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A Review of Code Defect Likelihood Using ML Methods
Abstract: AbstractSoftware begets defects and defects are inevitable in software design and coding. This paper focused on five machine learning analysis models (MLAM); Support Vector Machine, Random Forest, K-Nearest Neighbor, Classification and Regression Tree, and Linear Discriminant Analysis. These models are trained to detect software defects using the software defect dataset from Promise data repository. The collected dataset is preprocessed to reduce the amount of redundant features using a dimension reduction …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 1–6 Read article
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Concept of Stability of Drugs in Unani Perspective
Abstract: Stability of a pharmaceutical product can be defined as the capability of a particular formulation, in a specific container closure system to remain within its physical, chemical, microbiological, therapeutic and toxicological specifications. According to ancient Unani physicians shelf life of a drug is determined by organoleptic characters of the drugs i.e., external features, color, smell, taste, consistency, structure, weight, clarity, cleanliness and freshness. In classical Unani literature there is a …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 4, Issue 2, 2015 · pp. 1–4 Read article
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Automated Vessel Segmentation of Retinal Vessels using Hybrid Region Information
Abstract: AbstractRecent researches state that the categorization of retinal vessels into artery/vein (A/V) is a critical phase for automating the detection of vascular adjustments and for the calculation of function symptoms related to numerous systemic illnesses which includes diabetes, high blood pressure, and different cardiovascular situations. This paper affords an automatic method for A/V class, primarily based on the evaluation of a graph extracted from the retinal vasculature. The proposed method …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 3, 2018 · pp. 28–36 Read article
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Application of Computer Vision Algorithms in the Description of Mitotic Chromosome Metaphase Spread
Abstract: Mitotic chromosomes offer a unique opportunity to observe the nuclear genome by microscope, allowing analysis of its components individually. The karyotype is the visual description of the complete set of chromosomes of a typical somatic cell of a eukaryotic organism. These unique visual features that describe the karyotype are not easily distinguished in photographed microscopic images, most especially in laboratories located in the third world countries that cannot afford to …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 3, Issue 1, 2015 · pp. 1–5 Read article
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Vegetation Classification Based on Leaf Pattern
Abstract: In this current world, vital species of plants are going to be lost day by day. To command, this phenomenon, steps are first discovering then restoring and retain them. Among them, spotting of plant is giving up challenging. Usually, plants are recognizing from their leaves. In this paper, a deep neural network model is implemented which will extract the hidden pattern form leaf images. A classifier named as Convolutional Neural …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 3, 2021 · pp. 9–16 Read article
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Recent Progress in Addressing Temporomandibular Joint Ankylosis
Abstract: TMJ ankylosis refers to the fusion of the mandibular condyle with the skull's base. Managing this condition is a formidable task due to technical complexities and a high recurrence rate.[1] Addressing temporomandibular ankylosis is a complex endeavor often resulting in reankylosis, relapse, risky complications, and necessitating multiple surgeries. This article introduces a treatment protocol for managing temporomandibular joint ankylosis, emphasizing early intervention using modern treatment approaches." Temporomandibular joint (TMJ) ankylosis …
Published in Research and Reviews : Journal of Surgery · Vol. 12, Issue 2, 2023 Read article
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A Single-domain Antibody Cross-reacts with Lipopolysaccharide from Diverse Gram-negative Bacteria
Abstract: Gram-negative bacterial sepsis and endotoxemia are the leading causes of morbidity and mortality in animals and humans worldwide, and attempts have continued to design rational therapies. Endotoxin/lipopolysaccharide (LPS)-neutralizing polyclonal and monoclonal antibodies have been produced, but are not free from problems. Single-domain antibodies (dAbs), constructed from the camelid and the shark ‘heavy chain antibodies’ by phage display technology possess favorable features for in vivo applications. The objective of this study …
Published in Research and Reviews : A Journal of Immunology · Vol. 6, Issue 2, 2016 · pp. 29–37 Read article
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User Review-Driven Recommendation Model for E-Scooter Selection
Abstract: In the era of rising environmental awareness and the growing emphasis on sustainable mobility practices, electric scooters (e-scooters) have gained significant popularity as an efficient and eco-friendly alternative to conventional modes of transport. Their ability to reduce carbon emissions, minimize traffic congestion, and offer cost-effective commuting solutions has made them highly attractive, particularly in urban environments. However, with the rapid expansion of the e-scooter market, consumers are faced with an …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 6–16 Read article
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Integrative Perspectives on Lipoma: Traditional Therapeutics from Siddha, Ayurveda, and Unani with Biomedical Correlates
Abstract: Background: Lipoma is the most common benign soft tissue tumor, with an incidence of approximately 2 per 1,000 individuals annually. Modern biomedicine attributes its pathogenesis to genetic abnormalities like HMGA2 rearrangements and dysregulated adipogenesis via PPARγ pathways. Effective pharmacological therapies are lacking. Traditional Indian systems – Siddha, Ayurveda, and Unani – offer unique perspectives and non‑surgical approaches yet remain underexplored in integrative research. Objective: To critically evaluate the descriptions, pathophysiological …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 13, Issue 1, 2026 · pp. 19–33 Read article
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Modeling of Maximum Power Point Tracking Controllers for Wind Generation System using Hill Climb Searching Technique
Abstract: In this paper, based on a low-cost, small-scale application, presents a Maximum Power Point Tracking (MPPT) controller for wind generation systems (WGS). The Hill Climb Search approach served as the foundation for the development of the MPPT algorithm. To account for the inertia of wind turbines, an enhanced hill-climb searching approach has been created as a fundamental component of the max-power extraction algorithm. Under varying wind conditions, the generator can …
Published in Journal of Power Electronics and Power Systems · Vol. 13, Issue 3, 2023 · pp. 39–47 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