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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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Role of Clay Liners in Municipal Solid Waste Landfills: A Review
Abstract: Rapid population growth has significantly increased the generation of municipal solid waste (MSW) in urban and suburban regions. Disposal of MSW in landfills without proper liner systems may lead to leachate migration and subsequent contamination of groundwater and surrounding soils. The use of liner systems at the base of landfills is therefore essential to minimize leachate percolation and protect the environment. Geosynthetic clay liners (GCLs) and compacted clay liners (CCLs) …
Published in Journal of Geotechnical Engineering · Vol. 13, Issue 2, 2026 · pp. 50–56 Read article
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Entropy Analysis Based Differential Evolution Approach for Emotion Classification for EEG
Abstract: Electroencephalography (EEG) signal processing is having its significance in various applications related to the emotion recognition and classification. The behavior monitoring, behavior class identification, emotion class identification are the major aspects for classification of EEG signal. In this paper, a feature adaptive differential evolution (DE) approach is defined to perform emotion classification. In this work, we used discrete wavelet transform (DWT), for extracting the statistical features from the EEG signal …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 15–22 Read article
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Hand Grasp Recognition and Classification of Prehensile Surface EMG Signals
Abstract: Myoelectric control signals are commonly used as a convenient solution of prosthesis control for the disabled persons or amputees. Surface EMG signal being noninvasive is easy to acquire and is commonly used in prosthetic devices. Myoelectric control system is the fundamental component of modern prostheses, which uses the myoelectric signals from an individual’s muscles to control the prosthesis movements. In this paper data collected from several subjects using four surface …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 29–38 Read article
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Disease Prediction for Heart using Data Mining Techniques and Decision Tree Classification
Abstract: Heart disease is a prominent cause of death worldwide, and many people are concerned about it. Early detection of heart disease becomes very crucial and has the potential to save many lives. However, detecting cardiovascular diseases such as heart attacks, coronary artery disease, and others of similar types is a critical challenge presented by routine clinical data analysis, even by using well known algorithms. We can’t risk lives of people …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 2, 2022 · pp. 16–22 Read article
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Survey of Techniques for Clustering and Classification of ECG using WEKA
Abstract: ECG analysis can be done for automatic detection of abnormality in cardiac activity. This can be helpful in generating alert for saving a precious life. Various techniques have been proposed in literature for feature detection and classification such as; fuzzy logic methods, artificial neural networks (ANN), and support vector machines (SVM), wavelet transform, Hilbert transform, etc. Recently, numerous researches and techniques have been developed for analyzing the ECG signal on …
Published in Journal of Microcontroller Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 14–19 Read article
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Poly Vinyl Alcohol/Kaolinite Clay/Grafted Cellulosic Fibre Based Hybrid Composite Films: Physical, Mechanical, Optical and Biodegdrability Studies
Abstract: In this study, physical, mechanical, optical, morphological and biodegdrability properties of poly vinyl alcohol (PVA)/kaolinite clay (KC)/grafted barley husk (GBH) based hybrid composite films were prepared by solution casting method. Barley husk was grafted with oleic acid using graft copolymerization method. The hybrid composite films were characterized by FTIR and SEM. Based on the findings from this work, water uptake of the composite films increased with increase in the amount …
Published in Journal of Polymer & Composites · Vol. 5, Issue 3, 2017 · pp. 41–52 Read article
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Structural Analysis of Clapper Block Swivel Plate Using Fusion 360
Abstract: In this research, a finite element routine was used to calculate the static displacements and stresses in the clapper block swivel plate under maximum loadings, which were then used for critical point evaluation. Fatigue analysis and longevity were assessed through the use of Fusion 360 software. The need to predict how a product will reach over its life cycle has grown over the years. Metal and other industries must demonstrate …
Published in Journal of Production Research & Management · Vol. 12, Issue 1, 2022 · pp. 27–34 Read article
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Effect of Compressibility on Undrained Bearing Pressure of Circular Footing Resting on Two-Layered Clay
Abstract: The present study aims to investigate the behavior of a circular foundation on layered clay of varying properties. There are several solutions for the bearing capacity of footings on two-layered clays, but none of them considered the compressibility of the strata. An underestimation of the soil bearing capacity is the main cause of failures. The typical difficulty in estimating the capacity of soil is its complicated behavior attributed to the …
Published in Trends in Machine design · Vol. 9, Issue 3, 2022 · pp. 1–8 Read article
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Thermal Engineering: Principles, Evolution, and Comparative Analysis with Classical Approaches
Abstract: Thermal engineering is the study of heat transfer, thermodynamics and energy conversion systems. However, through the years it has progressed from classical theories, which relied on empirical correlations, to enhanced computed and nanotechnology based approaches. This paper highlights the principles of thermal engineering, its important systems and latest developments of thermal engineering and provides extensive comparisons between the classical (traditional) methods and the most recent developments or innovations such as …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 2, 2026 Read article
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Multi Face Detection and Gender Classification Based Attendance System
Abstract: Time management is critical in today's hectic classroom, and keeping track of attendance can take up valuable class time. Utilizing technologies like facial recognition and detection can greatly expedite this procedure. While face recognition algorithms compare the detected faces with known faces kept in a database, face detection algorithms can recognize human faces within a group photo or video stream. Without the need for human interaction, teachers can effectively record …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 1–7 Read article
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Clay–Polymer Nanocomposites: An Efficient Adsorbent for Waste Water Treatment
Abstract: Despite the abundance of water sources, the globe today lacks potable water because to pollution. Pollutants can be removed from water using a variety of technologies, but adsorption is considered the most simple, effective, economical, and ecologically beneficial method. The class of adsorbents known as clay–polymer nanocomposite (CPN) adsorbents is one that is now gaining popularity. By adsorbing and flocculating inorganic and organic micropollutants from water, CPNs efficiently cleanse water. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 111–118 Read article
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Fusion of deep learning autoencoders with random forest for wetland classification using Sentinel-2A data: A case study on Sirpur wetland
Abstract: Present study analyses the performance of deep leaning algorithm-autoencoder to reduce data dimension as compared to conventional models. Classification accuracies of Sirpur wetland using Sentinel 2A dataset with different inputs have also been studied. These inputs sets comprise the reconstructed data through compression of original 13 bands into 4 bands using decoder algorithm, first four Principal Components, all spectral bands, and spectral indices. Random Forest classifier (RF) is used to …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 1, 2026 · pp. 25–35 Read article
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Artificial Intelligence in Education: Enhancing Usability and Adoption Among Educators in Digital Classrooms
Abstract: The use of Artificial Intelligence (AI) in education has changed digital learning environments. It provides new tools to improve teaching and boost student engagement. However, even with more AI-enabled technologies available, not all educators are using them equally. This uneven adoption is mainly due to problems with usability, accessibility, and digital readiness. This study addresses the critical gap between the potential of AI in education and its practical utilization by …
Published in Recent Trends in Social Studies · Vol. 3, Issue 2, 2026 Read article
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Economic Sustainability of Transportation Infrastructure Procurement: The Differing Site Condition Clause Debate as an Underlying Environmental Trigger to Cost Overruns
Abstract: Case law is rife with contractual disputes arising due to lack of adequate geotechnical risk containment during procurement. The use of a ‘Differing Site Conditions (DSC) clause’, implies that, in the event of encountering a subsurface/geo-environmental condition different from that which was indicated in the contract, the owner bears the additional cost for executing the work under such conditions. However, the literature indicates a divergence in industry practise, with some …
Published in Journal of Construction Engineering, Technology & Management · Vol. 10, Issue 1, 2020 · pp. 11–19 Read article
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Utilization of Bentonite Clay Coupled with Potash for the Synthesis of Octadec-9-Enoic Acid Methyl Esters of Pongamia Pinnatatriglycerides
Abstract: Due to the ever increasing human population worldwide, especially in the developing countries across the world; renewable energy sources are in the primary focus of the scientists and researchers. In addition, the depletion of the reserves of the fossil fuels along with the increased consumption of the available reserves has led to wide spread global unrest. Complementing the above, there are significant environmental problems namely global warming due to increased …
Published in Journal of Polymer & Composites · Vol. 10, Issue 2, 2022 · pp. 72–78 Read article
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A Survey on Neural Network based Classifier for Arrhythmia Detection
Abstract: Electrocardiogram (ECG) is one of the important diagnostic tool for the detection of the heart problem. Increasing number of cardiac patients need automatic detection techniques for various abnormalities or arrhythmias of the heart to reduce pressure on physicians and share their load. Coronary Care Units (CCUs) emphasizes on the task of accurate analysis of ECG signal at an early stage that can prevent disease, like tachycardia, to escalate there by …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 88–97 Read article
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Classrooms of 2020
Abstract: ABSTRACTThis work envisions the profile of future classrooms, circa 2020. The idea is to sketch the horizon for its growth by keeping in mind the current and future trends in technology vis-à-vis the objectives of learning. Future education system will be completely revamped and there will be a need to redesign our classroom in accordance with technological advancements. Technology is a powerful means to enhance our abilities, to think, to …
Published in Journal of Communication Engineering & Systems · Vol. 1, Issue 1-3, 2011 · pp. 1–19 Read article
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Challenges in Individual Representation of GP Classification
Abstract: AbstractGenetic Programming (GP) is an evolutionary programming strategy that automatically solves complex problems through computer programs. The field of Data Mining has got engrossed towards GP, due to its advantages in automatic evolution of programs with optimized solutions without prior knowledge on data. The classification technique is among the most studied Data Mining task through GP. GP, despite being used for classification for long time due to its numerous outstanding …
Published in Journal of Computer Technology & Applications · Vol. 4, Issue 1, 2013 · pp. 1–4 Read article
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Hyperspectral Image Compression and Classification: A Survey
Abstract: The applications of hyperspectral images (HSI) are many, which include agriculture, food quality, remote sensing, medical diagnostics and safety assessment. Hyperspectral image analysis has been used for detecting contaminants and identifying defects in food. It also utilizes advanced software and hardware tools hence allowing users to diagnose and detect pathologies. In this paper an avant-garde investigation about Hyperspectral image compression and classification techniques which can be used in various applications …
Published in Journal of Remote Sensing & GIS Read article
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Unravelling Modern News Classification Methods: A Systematic Review
Abstract: Nowadays, the news is being generated each second from every corner of the world, with millions of news articles generated every day. Some assume that at least 1.8 million articles are published yearly, in about 28,000 journals. It has become difficult to recognize what's fake and what's genuine due to the overflow of millions of articles every day. Not every person reads every news, so the classification of news according …
Published in Journal of Computer Technology & Applications Read article