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224 articles for “Acquisition”
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Novel Word Learning Ability in Adults
Abstract: New word learning refers to the learning of novel words which are not in the vocabulary of the person. It is generally believed that there is no age limit for learning; the same sentence holds good for learning new words also, however the pace of acquisition may differ. Most of the studies carried out in the past have been carried out in children, this necessitates the present study. The present …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 1, 2018 · pp. 1–5 Read article
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Verbal Working Memory in Bilinguals: An Exploratory Study
Abstract: The purpose of the study is to investigate Verbal Working Memory (VWM) abilities in bilinguals. Since previous literatures mainly focused on nonverbal aspects of memory, the present study aims to proliferate knowledge on the linguistic aspects of working memory. A total of 30 bilinguals aged between 18 and 30 years were recruited for the study. However, bilingual group had further breakdown into two groups with 15 in each based-on age …
Published in Research and Reviews: A Journal of Health Professions · Vol. 10, Issue 1, 2020 · pp. 37–47 Read article
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Identifying COVID-19 in chest X-ray and CT scan images through the application of machine learning algorithms.
Abstract: Since the beginning of the current COVID-19 pandemic, more than five million people have been infected and the numbers are still on the rise. Early symptom detection and proper hygienic standards are thus of utmost importance, especially in venues where people are in random or opportunistic contact with each other. To this end, automated systems with medical-grade body temperature measurement, hygienic compliance evaluation and individualized, person-to-person tracking, are essential, not …
Published in Research and Reviews : A Journal of Immunology · Vol. 13, Issue 2, 2023 · pp. 13–21 Read article
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Analysis of Discrete Wavelet Transform for Denoising of Breast CT Image
Abstract: During acquisition of medical images noise gets induced in the digital image by various effects. The state of art devices used for capturing the images introduces complex type of addition noise in the images. No medical imaging devices are noise free. The most commonly used medical images are acquired from MRI (Magnetic Resonance Imaging), CT (Computed Tomography) and X-ray equipment’s. Additive noise into medical image decreases the visual quality that …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 1, 2018 · pp. 27–31 Read article
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Automatic Gain Control Amplifier for Analog Front End in Biomedical Applications
Abstract: This paper presents the design review of feed-forward automatic gain control (AGC) amplifier to be used in analog front end of biomedical applications such as hearing aid. To make system low-power, the design of each block is optimized and all elements are realized using MOS. The whole design is simulated in LT spice IV using 0.18 µm CMOS technology and the results are presented. Keywords: Automatic gain control (AGC), biomedical …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 5, Issue 3, 2016 · pp. 22–26 Read article
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The Cognitive Renaissance: Transforming Your Mind with Innovative Techniques
Abstract: Cognitive abilities play a crucial role in our daily lives, as they impact our capacity to concentrate and stay focused on tasks. When cognitive impairments occur, domains such as working memory, executive function, attentiveness, and knowledge acquisition can be negatively affected. Fortunately, intervention programs have been shown to enhance cognitive abilities and improve daily functioning. Regardless of age, various intervention programs can improve multiple aspects of cognitive functioning. In this …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 13, Issue 1, 2023 · pp. 47–56 Read article
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Acetylcholinesterase and Butyrylcholinesterase Activities in Brain and Plasma of Several Species of Birds in India
Abstract: Since timely acquisition of concurrent controls is not always feasible, development of a reference data of normal cholinesterase (ChE) activities for various wildlife species particularly for birds is necessary to diagnose anticholinesterase exposure. In the present study, acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) activities in brain and plasma of several species of birds collected from Ahmedabad, India, during 2005–2007, were determined. Brain AChE activity ranged from 1.24 µmole/min/g in Indian white-backed …
Published in Research and Reviews: A Journal of Toxicology · Vol. 2, Issue 1, 2012 · pp. 1–9 Read article
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Effects of Smoking on Respiratory System
Abstract: Smoking is whispered to exacerbate respiratory diseases by harming respiratory defense mechanisms. Specifically, smoking damages mucociliary function, which impairs clearance of inhaled substances even in smokers who have no respiratory symptoms promotes bacterial adherence to airway epithelial cells. The devastating health impact of cigarette smoking is well known, Cigarette and its components produce structural changes in the respiratory tract include peri-bronchiolar inflammation and fibrosis, augmented mucosal permeability, destruction of the …
Published in Research and Reviews: A Journal of Toxicology · Vol. 3, Issue 3, 2013 · pp. 5–8 Read article
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Real-Time Crack Detection in Polymer Composites Using Embedded IoT Sensor Networks
Abstract: This study developed an embedded Internet of Things sensor network for real-time crack detection, localization, and severity assessment in glass–fiber-reinforced polymer composites. Four polyvinylidene fluoride sensors were embedded near the laminate mid-plane and connected to synchronized wireless acquisition nodes. Controlled low-velocity impacts generated graded damage states. Ultrasonic C-scan and optical microscopy provided independent labels. A compact multi-channel convolutional model processed normalized waveforms, spectral entropy, signal energy, and arrival-time differences at …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 866–899 Read article
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Electrically Conductive Micro-Aluminum Reinforced Polymer Composites for IoT-Enabled Lightweight Antenna Housings
Abstract: Electrically conductive polymer composites have emerged as promising multifunctional materials for lightweight antenna housings by integrating structural strength, electrical conductivity, thermal stability, and electromagnetic interference shielding. In this study, micro-aluminum reinforced Acrylonitrile Butadiene Styrene (ABS) polymer composites were fabricated using twin-screw melt compounding followed by compression molding for IoT-enabled lightweight antenna housing applications. The influence of micro-aluminum loading on microstructure, mechanical performance, electrical conductivity, EMI shielding, thermal stability, and wireless …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Attribute based Level Adaptive Thresholding Algorithm for Object Extraction
Abstract: Image processing plays a vital role in the computer vision because most of the scenarios require object extraction and recognition. In order to utilize these images for the procedural analysis of the environmental entities in computational means, it must be a noiseless one. However, the images are affected through noises caused by the various acquisition techniques and hence an effective technique for denoising and segmentation is necessary in Computational Tomography. …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 2, 2014 · pp. 13–17 Read article
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A Survey Paper on Image Denoising Technique for Satellite Images
Abstract: AbstractImage denoising (ID) is a material issue found in various image processing (IP) and PC vision issues. There are numerous techniques of denoising images. The most necessary property of ID model is that it ought to totally diminish clamor, however much as could reasonably be expected and edge conservation. This paper gives a knowledge perspective of some real work in the field of ID. Specialists have distributed numerous calculations in …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 2, 2017 · pp. 1–9 Read article
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A Survey on Word Sense Disambiguation for Persian language
Abstract: Natural language processing (NLP) is considered as one of the most important subfields of Artificial Intelligence. It’s used to provide an Interface between Computer and Human languages. NLP has found its application on several areas such as Speech processing, Summation of text, Machine translation, Searching, Information grouping, Parts of Speech Tagging (POS), Sentiment analysis and etc. Natural language processing is posing some challenges in speech recognition, ambiguity in preposition attachment, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 12–17 Read article
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Graph based Word Sense Disambiguation for Gujarati
Abstract: Due to high Semantic Ambiguity that is associated with language, Word Sense Disambiguation is an open problem of Natural Language Processing and Ontology in Computer Linguistics. For instance, the Gujarati word પુવૅ (Purva) can mean East and Past. The task of automatically assigning the most suitable meaning to a polysemous word can be defined as Word Sense Disambiguation. Several approaches have been done, from Dictionary-and Knowledge-based method that uses Lexical …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 2, 2018 · pp. 35–43 Read article
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A Supervised Word Sense Disambiguation for Persian Using k-NN Approach
Abstract: Natural language processing (NLP) is considered as one of the most important subfields of Artificial Intelligence. It is used to provide an Interface between Computer and Human languages. NLP has found its application on several areas such as Speech processing, Summation of text, Machine translation, Searching, Information grouping, Parts of Speech Tagging (POS), Sentiment analysis and etc. Natural language processing is posing some challenges in speech recognition, ambiguity in preposition …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 2, 2018 · pp. 26–34 Read article
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Automatic License Plate Recognition using Video Sequences as Input and Artificial Neural Network as Recognition Technique
Abstract: ALPR system is used to automatically extract the number plate of a vehicle. This can be achieved by using different techniques that are employed in the field of image processing. ALPR method consists of 4 basic stages. The first stage of the system is the acquisition of an image of the vehicle. After that, the next step is license plate localization and then segmentation of the extracted license plate is …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 89–102 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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Plant Disease Detection Using SVM
Abstract: AbstractDiseases in plants are responsible for major production and economic losses and also reduction in yield. Detection of plant disease through some automatic technique is beneficial as it reduces a large work of monitoring in big farms of crops, and at very early stage itself, it detects the symptoms of diseases. Detection on plant is very critical for defensible agriculture. It is very challenging to monitor the plant diseases physically. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 3, 2017 · pp. 8–12 Read article
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Virtual Human Computer Interaction System v1
Abstract: AbstractAccording to various research people are having numerous health problems just because they sit in front of machine for long time. Human Computer interaction is completely dependent on peripheral devices (Mouse, keyboard). Dependency on peripheral devices had made people suffer from back pain, headache, obesity and other physical fatigues. Our approach is to reduce dependency on peripheral devices by creating virtual human computer interaction system. A virtual mouse controlling system …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 1, 2017 · pp. 20–22 Read article
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A Various Study of Tamper Detection and Forgery image : A Survey
Abstract: The fast and dynamic development in innovation dissolves the trust in the integrity of imagery. With the wide accessibility of digital technology and apparatuses, a few of influenced territories concerning digital world are modern photograph scams in media, political battles, military, and mold and media outlet. The fast rate at which the digital crimes are expanding has turned into a noteworthy concern, particularly in the courtroom. To provide food these …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 2, 2018 · pp. 27–36 Read article