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1949 articles for “class” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Lung Cancer Detection and Classification Using Deep Learning
Abstract: Lung cancer is a disease that can be effectively treated if detected early. Various technologies, such as magnetic resonance imaging, isotopes, X-rays, and computed tomography scans, are employed for diagnosis. One of the most crucial strategies in combating cancer is early detection, which greatly enhances a patient’s likelihood of survival; this is where artificial intelligence plays a significant role. The approach proposed in this study leverages historical medical data to …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 11–17 Read article
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AI-Based Preventive Healthcare Using Quantum Computing
Abstract: With its improved performance and capabilities, quantum machine learning (QML) is becoming a promising field, especially in the healthcare industry for tasks like early heart disease prediction. In this work, a Quantum Support Vector Classifier (QSVC) is proposed as the basic classifier for a bagging ensemble learning model. Shapley Additive explanations (SHAP) are used to evaluate the significance of each attribute in the predictions in order to improve explainability. Using …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article
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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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Gradient Boosted Regression Tree Approach to Predicting Toxic Interactions on X and YouTube
Abstract: In the digital age, social media platforms play a vital role in facilitating user engagement, encompassing both positive interactions and avenues for negative, often harmful behaviors. Recognizing and addressing toxic exchanges is paramount to nurturing healthy online communities and preserving users’ well-being. This study introduces a novel method for identifying toxic interactions by utilizing Gradient Boosting Regression Trees (GBRT) algorithm, a machine learning approach renowned for its exceptional accuracy and …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 7–14 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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Acoustic Sensing for City Flow: Quasi-Supervised Recognition of Sirens and Traffic for Urban Mobility Intelligence
Abstract: This paper frames environmental audio as a mobility telemetry source, extending a benchmark urban-sound corpus with transportation-critical classes—ambulance, firetruck, police, and traffic—and training spectrogram-based models under a quasi-supervised regime to support real-time city operations; leveraging 10-fold protocols, class-weighted objectives, and audiospecific augmentations (time stretch, pitch shift, SpecAugment, PatchAugment), the system benchmarks multiple CNN backbones combined with self-supervised learning paradigms enable the extraction of rich, discriminative acoustic representations, achieving strong multi-class …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 42–50 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 · pp. 51–58 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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Polymer Composite-Enabled UAV Platform for Edge AI-Based Precision Agriculture: A System-Level Evaluation
Abstract: This study investigates the system-level role of commercially available polymer composite materials in enabling lightweight and energy-efficient unmanned aerial vehicle (UAV) platforms integrated with edge artificial intelligence for real-time agricultural monitoring. Rather than developing or experimentally characterizing new composite materials, the work evaluates fiber-reinforced polymer (FRP) composites and epoxy-based laminates as enabling structural components whose established properties support UAV performance in precision agriculture. Their high strength-to-weight ratio, corrosion resistance, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 218–240 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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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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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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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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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
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Design and Development of Duct System for Classroom Ventilation
Abstract: This paper presents the design, development, and performance evaluation of a duct-based ventilation system for efficient air circulation in enclosed spaces. The system delivers a steady airflow of 550 CFM using a circular inline fan integrated with galvanized sheet metal ducts to minimize pressure losses and ensure uniform distribution. Performance tests conducted under real environmental conditions measured ambient temperature, duct inlet and outlet temperature, and airflow rate. Results confirmed that …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 2, 2026 · pp. 1–12 Read article
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A Survey on Classification of Routing Protocol in MANET: PROACTIVE, REACTIVE, HYBRID
Abstract: MANET is a wireless infrastructure-less network, in which the nodes are free to move independently in any direction. A mobile Ad hoc network comprises of collection of wireless mobile nodes that are capable of communicating with each other without infrastructure or any centralized administration. There is No wired infrastructure is required to form a network. Mobile Ad-hoc network (MANET) is a dynamic wireless network in which each mobile node acts …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 5, Issue 2, 2018 · pp. 33–38 Read article