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1978 articles for “CLA” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Energy-efficient Image Classification on Edge Devices: Implementation and Evaluation
Abstract: Image classification is a computer vision problem where an algorithm determines a class or label for a given image. Various real-time applications like object recognition, medical diagnosis, person recognition, etc. Image classification property on edge devices is useful for autonomous vehicles, surveillance, and healthcare and internet of things deployments. The advancement of deep learning based methods and graphics processing units (GPU) devices allows efficient processing locally. The study utilizes a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 10–18 Read article
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Characterization of Nano-Clay Reinforced Polymer Composites: Enhancing Performance for Extreme Applications
Abstract: This study investigates the mechanical, thermal, water absorption, and chemical resistance properties of nano-clay-reinforced polymer composites and polymer concrete. The incorporation of 1-5 wt% nano-clay resulted in a significant enhancement across all properties. Mechanical testing revealed a 42.86% increase in tensile strength (35 MPa to 50 MPa), 40% improvement in flexural strength (50 MPa to 70 MPa), and 46.67% rise in compressive strength (75 MPa to 110 MPa), attributed to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 105–114 Read article
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Inter-patient Heartbeat Classification Using Higher Order Statistics and Symbolic Dynamics of ECG Signal
Abstract: Computer assisted heartbeat classification techniques have gained significant importance in the recent years as they aid the cardiologists in identifying abnormal heartbeats in ECG recordings. These techniques are of vital importance especially for the long term ECG recordings where it is not feasible to manually analyze the numerous heartbeats. Electrocardiogram (ECG) is an electrical representation of human heart activities and change of these activities is reflected in the morphology of …
Published in Current Trends in Signal Processing · Vol. 7, Issue 2, 2017 · pp. 37–45 Read article
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Comparative Study of Classifiers for Monitoring Fake Reviews of Online Products Using Opinion Mining
Abstract: With the increasing popularity of e-commerce, online dealers seek reviews or opinions from customers regarding the quality and service of their sold products. As the number of customer reviews grows rapidly, potential buyers face difficulties in reading and assessing them to make informed decisions. Unfortunately, some review websites include fake positive reviews, either added by the product companies themselves or submitted by users who have not made a purchase. This …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 52–59 Read article
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Email Spam Classifications Based on Support Vector Machine and Recurrent Neural Network
Abstract: In recent times, e-mail has become one of the fastest and the utmost economical process of communication. Spam emails have dramatically increased over the past few years as a result of the growth in email subscribers. In this growing world, most of the transactions, business, study materials are taking place through emails. But due to the social networks and advertising, some of the emails contain undesirable information known as spam. …
Published in Journal Of Network security · Vol. 10, Issue 2, 2022 · pp. 14–18 Read article
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A Comprehensive Review on Brain Tumour Classification through Deep Learning Utilizing Convolutional Neural Networks
Abstract: Abstract- Convolutional neural networks (CNNs) constitute a widely used deep learning approach that has frequently been applied to the problem of brain tumor diagnosis. Such techniques still face some critical challenges in moving towards clinic application. Brain tumours are classified using a biopsy, which is not normally done before conclusive brain surgery. The enhancement of this technology by machine learning could aid radiologists in tumour detection without the use of …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 12, Issue 3, 2023 · pp. 24–29 Read article
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Comparison between two severity classificaitons in patients with acute cholecystitis
Abstract: Background and objective: Assessment severity helps clinicians to guide appropriate treatment and minimumize adverse outcome. The objective of our study was to comparison between TG13 severity system and EGS grade system for predicting clinical outcomes in acute cholecystitis. Patients and method: This is a retrospective single-center study which enrolled patients who were admitted to pyongsong medical university hospital between February 2020 and October 2021. Tokyo 2013(TG 13) severity classification and …
Published in Research and Reviews : Journal of Surgery · Vol. 12, Issue 2, 2023 Read article
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Cadmium Accumulation in Different Tissues and DNA Content Alteration in Cat Fish (Clarias batrachus) Exposed to Lethal Concentration of Cadmium
Abstract: In the present study, the acute toxicity experiment was conducted to evaluate LC50 of Cadmium chloride (CdCl2) on Clarias batrachus which was found to be 450 ppm for 96 h. Clarias batrachus (average length of 8.5 ± 0.4 cm and the average weight of 13.5 ± 0.393 g) was exposed to sub-lethal concentration (140 ppm) and lethal (450 ppm) concentrations of Cd for 14 days. The Cd accumulation in tissues …
Published in Research and Reviews: A Journal of Toxicology · Vol. 10, Issue 3, 2020 · pp. 1–8 Read article
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Classification of Fruits Based on Quality Using Artificial Intelligence
Abstract: The visual inspection method for fruit grading is prone to judgment distortion among different individuals. There is a demand for an automated fruit classification machine to replace labor-intensive processes with an intelligent system for fruit quality classification. This study proposes a practical real-time fruit quality classification system that classifies the fruit’s appearance in order to decrease human effort costs in the fruit industry. For the sorting and classification of fruits, …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 23–30 Read article
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Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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Geotechnical study of a landslide reactivation in clay soils (central Piedmont, NW Italy).
Abstract: In March 2015, exceptional meteoric events occurred in southern Piedmont caused a remarkable rise of the rivers water level of the Tanaro Basin with flooding and many landslides. The engineering geological study reported here, concerns a triggering of a previous landslide occurred in 1982 in the hills, shaped in the marine sedimentary succession (Lugagnano Clay, lower Pliocene) of the southern Asti Reliefs, near San Martino Alfieri village. Detailed geological, morphological …
Published in Journal of Geotechnical Engineering · Vol. 7, Issue 1, 2020 · pp. 21–36 Read article
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Micro-structural Analysis of Fly Ash and Clay Compacts
Abstract: Industrial waste like fly-ash is mainly used as a good building material due to its low weight. But the main disadvantage of these bricks is its low compressive strength. So, a lot of research is going on to increase the strength of these bricks. Normal clay is used for making of bricks in a cheaper sense. So, a research is carried out to develop a new systematic procedure to produce …
Published in Journal of Materials & Metallurgical Engineering · Vol. 3, Issue 3, 2013 · pp. 28–31 Read article
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Fabrication and Characterization of Jute Fiber Reinforced PP-Clay-based Nanocomposites
Abstract: AbstractNanocomposite is a new concept in the field of plastic-based composites. Jute fabric (hessian cloth)-reinforced polypropylene (PP) composites with different nanoclays were prepared by compression molding. Jute fiber content in the composites was approximately 50%. Mechanical properties of PP-clay blend and PP-clay/jute fiber composites were characterized. It was found that 5% clay containing PP-clay/jute composites showed the best results. Tensile strength (TS), elongation at break (EB) and tensile modulus (TM) …
Published in Journal of Polymer & Composites · Vol. 2, Issue 1, 2023 · pp. 19–29 Read article
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STUDIES ON MECHANICAL, OPTICAL AND BARRIER PROPERTIES OF LOW DENSITY POLY ETHYLENE WITH MICRO CLAY
Abstract: LDPE (Low density Poly ethylene) was melt blended with micro clay (0.5, 1, 3 & 5 wt%) by using a twin screw compounding extruder. Tubular blown film was taken using a tubular blown film extruder. Mechanical, optical and barrier properties were evaluated. The following trend was observed as the micro clay concentration was increased: The tensile strength was increased by 18% in machine direction (M/D) and decreased by 36% in …
Published in Journal of Polymer & Composites · Vol. 7, Issue 2, 2019 · pp. 23–31 Read article
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Extent of Beneficiation of Tsopoli and Akuse Clay Deposits as Drilling Fluids Materials
Abstract: The need to source for a local material for the design of drilling fluid has necessitated the study of two smectite clay reserve deposits which are abundant in Ghana and have been the subject of study for many years for other engineering disciplines. A study of their degree and extent of beneficiation quantities has been carried out using standard rheological and filtration test as well as governing protocols while at …
Published in Journal of Petroleum Engineering & Technology · Vol. 10, Issue 2, 2020 · pp. 15–37 Read article
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Revolutionizing Cancer Diagnosis: Unleashing the Tab Transformer's Power for Accurate Classification
Abstract: Gene expression platforms offer vast amounts of data that can be utilized for investigating diverse biological processes. However, the presence of redundant and irrelevant genes makes it challenging to identify crucial genes from high-dimensional biological data. To overcome this obstacle, researchers have introduced different feature selection (FS) methods. Developing more efficient and accurate feature selection techniques is essential for selecting important genes in complex biological information with multiple dimensions. In …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 24–38 Read article
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Identification of Classroom Behaviors among the School going Children with a view to Develop a Guideline on Management of Indiscipline Behaviors
Abstract: Context: Disruptive classroom behavior leads to loss of curriculum time and creates a classroom environment that is not conducive to learning. Teachers face immense problem in dealing with such issues and are in constant dilemma on how to tackle the behavior of students in classroom. Aim: The present study was conducted to identify the classroom behaviors of school going children’s and to develop a standard guideline on management of indiscipline …
Published in Research and Reviews: A Journal of Health Professions · Vol. 11, Issue 2, 2021 · pp. 6–11 Read article
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Breast Cancer Detection and Multiple Classification Using CNN
Abstract: Although some efforts have been made in the form of preventative screening programs, breast cancer remains one of the rising causes of death in women. Computer-assisted diagnosis is needed because of the rapidly increasing number of mammograms that can be collected by these programs. Performance metrics are not significantly improved by computer aided detection methods designed to improve diagnosis without a large number of sequential readings. In this context, self-imaging …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 12, Issue 2, 2023 · pp. 28–38 Read article
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State of the Art: A Pandemic Big HealthCare Analytics Solution: Image Data Classification Using Quantum MAML
Abstract: The modern age is facing many pandemic healthcare problems, e.g., covid 19, infections, inflammations, and many more, leading to critical, deadly situations. Survival rate can be increased with proper diagnosis of such data. We have proposed one of the implementations based on a medical image dataset for classification using deep reinforcement learning (RL) with quantum computing. Deep RL is the combination of DL (deep learning), generative adversarial network (GAN), and …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 1–9 Read article
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Dual-Stream Deep Learning Framework for Brain CT Image Classification and Implications for Polymer Composite Neuro Implant Evaluation
Abstract: Early and accurate classification of brain CT images is critical for diagnosing conditions such as aneurysms, tumors, and related lesions. We present a dual-stream image-classification framework that fuses convolutional neural network (CNN) features with handcrafted Histogram of Oriented Gradients (HOG) descriptors to jointly capture global semantics and local textural cues. The pipeline begins with modality unification via pixel-wise averaging to form a fused input, which is then processed in parallel …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 172–179 Read article