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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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U-Net Based Approach for Automated Brain Tumor Classification
Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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Classification of Plant Leaf Diseases Using Deep Learning Concepts
Abstract: Agriculture is vital to the economy of a country like India, where 70% of the workforce is employed in this sector. Plants suffering from illnesses experience a significant reduction in output. Delays in the identification of plant diseases lead to decreased yield and plant mortality. The cost of manufacturing is increased since it takes a big number of experts to manually detect plant diseases over several acres of land. The …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 46–55 Read article
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Enhancing IoT Network Security with Hybrid Deep Learning Classifiers for DDoS Attack Detection
Abstract: The security and operational dependability of Internet of Things (IoT) networks are seriously threatened by the growing susceptibility to Distributed Denial of Service (DDoS) assaults brought about by their rapid expansion. The intricacy and dynamic character of these advanced attacks can provide a challenge to conventional intrusion detection systems. This study presents a novel method for strengthening IoT network security by combining Convolutional Neural Networks (CNNs) and Long Short-Term Memory …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 1, 2026 · pp. 23–33 Read article
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A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction
Abstract: The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 Read article
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Intelligent Brain Tumor Diagnosis with AI-Based Classification* * Harnessing Deep and Machine Learning for Tumor Identification
Abstract: Brain tumors have become a leading cause of cancer- related deaths, posing significant health risks to many patients. This urgent medical challenge calls for rapid, automated, and reliable techniques to detect brain tumors accurately. Timely and precise tumor identification is crucial for devising effective medical plans that have the potential to save lives and improve patient outcomes. By leveraging advanced image processing methods, healthcare professionals can enhance their diagnostic capabilities …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 Read article
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Hydrological Modeling and Classification of Various Models: A Review
Abstract: Hydrology is the science which deals with the existence, movement and distribution of water of the earth, below the earth and earth’s atmosphere. As one of the branches of earth science, hydrology deals with the water in waterways and lakes, precipitation and snow, snow on the terrestrial and water underneath the earth and rocks. Hydrology has its links with meteorology, geography, measurements, science, material science and liquid mechanics. Engineers and …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 1–5 Read article
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IOT BASED FOOD CLASSIFYING SYSTEM
Abstract: Importance of good can never be ignored. It is well understood by two popular proverbs: “Health is wealth” and “A healthy brain resides in healthy body”. Nowadays, in this busy lifestyle, people generally do not pay proper attention to their diet plan. They become unable to plan their diet properly to maintain the desired body build-up and body mass index (BMI). Moreover, they do not become able to know the …
Published in Current Trends in Signal Processing · Vol. 12, Issue 2, 2022 · pp. 8–13 Read article
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Effective Removal of Widely Applicable Pesticides Using Iron Pillared Clay (Fe/Bt): Adsorption Behaviour and Kinetics
Abstract: The vast application of pesticides for agricultural purpose to enhance adequate plant growth is quite alarming, with its negative environmental influence increasing every day. The current study investigates the potential of iron pillared bentonite (Fe/Bt) for effective removal of three different widely applicable pesticides (Glyphosate, Bentazon and Diazinon) in aqueous solution. This adsorbent has been characterized ab initio by FT-IR spectroscopy. Adsorption parameters such as contact time, initial pesticide concentration …
Published in Journal of Catalyst & Catalysis · Vol. 10, Issue 1, 2023 · pp. 10–20 Read article
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Management of the Quality of Performance for Construction Projects Using of ISO 9001-2008 as Criteria
Abstract: The construction industry is one of the oldest industries known to man, has flourished since an old historical eras and has achieved advanced degrees of excellence in its products and methods of implementation for these products. That the importance of the construction industry in the daily life of the human being in the national economy of various countries, This confirms that the achievement of quality n this industry has economic …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 2, 2016 · pp. 75–87 Read article
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Brief Review of Fault Detection and Classification in Induction Motor
Abstract: Induction motors are operating as the support system for each industry. But like every different machine, due to serious duty cycles, poor operating atmosphere, installation and manufacturing factors, they gradually slow down or sometimes fail. That is why, diagnosis methods that are competent to sense the motor failures are necessary in order to increase the safety and the performances of with increasing needs for reliability and efficiency, the field of …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 1, 2019 · pp. 1–6 Read article
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Organic Waste Management – An Approach for Clarification of Infertile Lands
Abstract: In this method of research, the major focus has been given on largest food waste generating countries and to create a green solution for poor countries by the management of waste. As much as 30% of the worldwide food grown may be lost or wasted. The food production is expected to increase by 60% by 2050 as per UN Food and Agriculture Organization (FAO) to meet the demands of increasing …
Published in Journal of Geotechnical Engineering · Vol. 6, Issue 1, 2019 · pp. 26–30 Read article
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Classification Of Music Genre Using Machine Learning
Abstract: Machine Learning is a way that helps the systems to automatically learn from experience and improve the performance and predict the outcome more accurately without any requirement of being explicitly programmed. Music is one of the most significant and influential part of people’s life. Also, music is known as a universal language as it has the power to unite people from different places and cultures. This helps in the recognition …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 1, 2022 · pp. 11–16 Read article
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Theoretical Prediction of Maximum Number of Methane Molecule Accommodation in Unit Cages of S-I Clathrate Structure
Abstract: Density Functional Theory (DFT) based simulations have been performed to determine maximum possible number of methane molecule accommodation in unit cages of methane hydrate structure-I (S-I). Interaction energy, encapsulation energy and incremental encapsulation energy are calculated using B3LYP functional and 6-31+G(d) basis set. Nuclear magnetic resonance and Raman spectroscopy of one methane encapsulated are predicted at B3LYP/6-31G(d) level for 51262 hydrate cage. Maximum one methane molecule accommodation both in 512 …
Published in Journal of Petroleum Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 116–122 Read article
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Seismic Behavior of RCC Buildings under Revised Seismic Zone Classification by BNBC
Abstract: This study aims at the comparison of provisions of earthquake analysis given BNBC 2017. The revised BNBC 2017 has divided the seismic zones of Bangladesh into four different categories such as Zone-1, Zone-2, Zone-3 and Zone-4 respectively. They have different seismic zone coefficients. Finally structural analysis and design of a typical G+10 storey school building situated in all four seismic zones is conducted to investigate the seismic behavior of that …
Published in Recent Trends in Civil Engineering & Technology · Vol. 9, Issue 3, 2019 · pp. 21–28 Read article
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A Comparative Study of Fly Ash Bricks Made with Blend of Clay Brick Waste and Stone Dust
Abstract: The growing environmental concerns and proper disposal of brick waste is a challenge for construction industry. Many research articles support the use of brick waste in construction materials as aggregates. Production of bricks using waste brick aggregate has environmental benefits by lowering the disposal problem and at the same time saving conventional resources. The present work focuses on the utilization of brick waste as a partial replacement of conventional aggregates …
Published in Recent Trends in Civil Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 60–67 Read article
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FAILURE ANALYSES OF 16MM THICK SA 516 GR 70 AUTO CLAVE
Abstract: With the acceleration of global industrialization, there is a demand for high- or low-pressure storage of liquids or gases. Because of the complicated operating conditions that will inevitably encounter a possible hazard, pressure vessel design is a critical responsibility. Previous failure studies have revealed that the presence of local loads and discontinuities increases pressure vessel fracture. As a result, a detailed examination of pressure vessel steel from the standpoint of …
Published in Trends in Mechanical Engineering & Technology · Vol. 12, Issue 1, 2022 · pp. 21–30 Read article
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Improving Software Cost Estimation Process through Classifcation Data Mining Algorithms using WEKA Tool
Abstract: Today, the Software Cost Estimation (SCE) is one of the hot research areas among the researchers. Cost estimation is a method of the achievable cost of a product, thing, program, or an undertaking, enrolled in light of available information. It attempts to data predict good results to combined both of the field software engineering and data mining in this work. It generates the accurate cost of the projects with the …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 24–33 Read article
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Bhumi pariksha of Ayurveda classics in the purview of Soil science.
Abstract: Medicinal plants are the essential element for Ayurveda as it utilizes mainly herbal-based medicines. Ayurveda faces the challenge to ensure the quality and safety of Ayurveda medicines in this era of extreme pollution. Ayurveda treatises explain Bhumi pariksha or soil examination as the preliminary procedure in the cultivation of medicinal plants. Ayurveda as an ancient medical system lacks the more scientific methods in its primitive form of soil examination. Hence, …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 11, Issue 3, 2022 · pp. 17–25 Read article
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A Classical Drug Review, Pharmacognostical and Physicochemical Analysis on Madhupipplyadi Yoga
Abstract: The drugs of Madhupipplyadi Yoga are Tridosha Shamaka properties with Vranashodhana, Vranaropana, as well as anti-inflammatory, antioxidant, cleaning and wound healing properties. The goal of the current study was to examine the pharmacognostical, physiochemical, and detailed drug review of Madhupipplyadi Yoga as well as to verify the authenticity of the drugs used in the preparation. All Ayurvedic texts, data from web-based search engines, and journal articles were used in the …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 12, Issue 2, 2023 · pp. 14–22 Read article
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The Pioneers of Greek Medicine: Exploring the Classical Period and Influential Scholars
Abstract: Greek Medicine, an ancient medical system, emphasized holistic approaches, balance, and the interconnectedness of the body and environment. Its contributions to anatomy, pathology, pharmacology, and preventive care continue to shape Modern Medicine. This medical system thrived from around the 5th century BCE until the advent of modern medicine. Greek physicians, such as Hippocrates, Galen and Dioscorides, revolutionized the understanding of the Human Body, Disease, and therapeutic interventions. Central to the …
Published in Research and Reviews: A Journal of Medicine · Vol. 13, Issue 3, 2023 · pp. 1–6 Read article