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298 articles for “multi-class classification”
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Comparison of Models of Machine Learning and Hyperparameter Optimization Methods on Various Datasets
Abstract: The most likely phase in achieving powerful and robust machine learning models is probably the hyperparameter tuning step. The traditional exhaustive methods of search (grid search and others) ensure that the search space is covered, but are computationally inexpensive; random search is less expensive and can still miss good regions; and lastly, the modern model-based and population-based methods (Bayesian optimization, tree-structured Parzen estimator (TPE), genetic algorithms) are thought to provide …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 35–42 Read article
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Timely Diabetes Possibility Prediction Using AI Techniques
Abstract: The fastest chronic life-threatening disease affecting more than 422 million people globally is diabetes. The primary causes of type 2 diabetes are lifestyle choices and environmental factors. It is a slowgrowing disease which starts to develop metabolic factors long before they evolve into a disease and is formally diagnosed by a fasting sugar test. There are records of indications related to diabetes from 520 patients in the dataset that was …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 2, 2022 · pp. 37–47 Read article
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Machine Learning Based Sentiment Analysis of Student Feedback in Higher Education
Abstract: Educational institutions routinely collect feedback from students to understand their perceptions of academic programs, infrastructure, and campus facilities, to improve the overall quality of the college environment. In current practice, feedback is often gathered using numerical or grade-based rating systems, which tend to oversimplify student opinions and may overlook important details related to their level of satisfaction. In contrast, open-ended textual feedback allows students to clearly express their views, concerns, …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 01–10 Read article
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Normalized Difference of Polinsar Coherence for Classification of Earth Covers
Abstract: The use of the interferometric SAR is extremely urgent for conditions of Siberia, nearly accessible and often covered by clouds. The polarimetric radar interferometry (PolInSAR) makes it possible to analyze the coherence of interferometric couples that provides additional information. This work makes an attempt to use a difference of polarimetric coherence value for the different types of classifications of the earth’s surface. As the processing method, it is proposed to …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 1, Issue 1-3, 2012 · pp. 32–41 Read article
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Forest Change Monitoring of Ghatsila, Musabani and Dhalbhumgarh Block of East Singbhum District, Jharkhand State using Image Subtraction, Image Ratioing and SAM Classification Method
Abstract: Forests and biodiversity is the key of all life forms. The richer the forest, greater the opportunity for economic development and adaptive responses to the challenge of climate change induced disasters. The forest area of Jharkhand is rapidly destroyed due to unscientific mining, industry induced air pollutants and human encroachment in forest area. This heavy deforestation activity has changed the ecosystem and environment. Recent advancement in remote sensing technology has …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 1, 2015 · pp. 37–42 Read article
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A Comprehensive Method for Sentiment Analysis on Twitter Posts
Abstract: AbstractIn recent years, with ascent of users of social media, researchers get drawn to sentiment analysis. The challenge is that sentiment-dependent info from multiple sources does not seem to be thought of usually in existing sentiment classification techniques. Sentiment analysis is incredibly vital as a result of it helps folks and organizations in their decision-making process. There is vast explosion of “sentiments” on the market from social media like Twitter, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 4, Issue 2, 2017 · pp. 1–5 Read article
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Criteria for Algal Classification
Abstract: Algae are the photosynthetic microcells found in the aquatic environment. Algae are the unicells and multicellular microorganisms ranging in size from a few microns to the meters-long kelps in the ocean's large seas. Algae are both kinds, they can be prokaryotic and eukaryotic organisms, prokaryotic algae are of the cyanobacteria, whereas the rest of the algae of the other classes are of eukaryotic origin. Algae are aquatic in origin, plant …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 12, Issue 2, 2022 · pp. 15–18 Read article
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Machine Learning Techniques for Predicting Industries Based on Region
Abstract: In recent years, there has been a growing interest and emphasis on agricultural land preparation and its implementation among researchers, primarily due to various factors. These factors include an increased focus within the research community, a rising demand for agricultural land, and the significance of assessing soil health for ensuring robust crop production. Picture request is one such philosophy for soil and land prosperity examination. It is a staggering measure …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 1–8 Read article
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Facial Emotion Detection and Its Applications
Abstract: Facial emotion detection (FED) is an interdisciplinary field that integrates artificial intelligence, computer vision, and machine learning to recognize and interpret human emotions based on facial expressions. The development of FED systems has been propelled by advancements in deep learning, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which enhance recognition accuracy. Feature extraction techniques, including geometric and appearance-based methods, play a crucial role in classifying emotional states. …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 8–12 Read article
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Principal Component Analysis Based Dominant Features Selection Method for Speaker Identification
Abstract: Cepstrum based features are mostly used in speaker identification. Mel-frequency cepstrum coefficients (MFCCs) and their statistical properties (skewness, kurtosis and standard deviation) are used in this paper for text-dependent speaker identification. Principal component analysis (PCA) is employed to select the dominant feature vector representing the speaker characteristics. Multi-layer neural network is used as the classification engine. There occurs the inter-speaker variation of speech length uttering the same word. The feature …
Published in Current Trends in Signal Processing · Vol. 1, Issue 1-3, 2025 · pp. 33–45 Read article
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Classification and Comparison of Routing Protocols in Wireless Sensor Networks
Abstract: Recent developments and the overlap of multiple technologies, including distributed signal processing, ad-hoc network routing protocols, embedded systems, integrated circuits, micro electro-mechanical systems, microprocessor hardware, and nanotechnology, have rendered the idea of Wireless Sensor Networks (WSNs) possible. Sensor network nodes are finite with regard to energy, processing capability, and communication bandwidth. Yet, since they can vary with respect to the application and network structure, the routing protocols have received the …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 35–44 Read article
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Automated Detection of Polycystic Ovarian Syndrome using Neural Network Algorithm
Abstract: The ovarian ultrasound imaging could be a good tool in infertility treatment. Monitoring the follicles is extremely important in human reproduction. Periodic measurements of the scale and shape of follicles over several days are the primary means of evaluation by doctors. Today monitoring the follicles is finished by non-automatic means with human interaction. This work could also be very demanding and inaccurate and, in most of the cases, means only …
Published in Recent Trends in Parallel Computing · Vol. 7, Issue 2, 2020 · pp. 9–13 Read article
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Disease Prediction Using Ensemble Learning Models: A Comprehensive Approach
Abstract: In recent years, ensemble learning techniques have become pivotal in advancing predictive analytics within healthcare, particularly for early disease detection. The inherent variability and complexity of medical data, often characterized by high dimensionality, class imbalance, and noise, make it challenging for standalone classifiers to maintain high predictive accuracy. Ensemble learning, by integrating multiple models through bagging, boosting, or stacking, offers a more robust and generalizable approach. This study explores the …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 26–33 Read article
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Classification and Detection of Brain Tumor using Convolutional Neural Network
Abstract: Tumors are masses created when brain cells multiply uncontrollably. A brain tumor is the medical term for this condition. Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Developing a treatment plan is essential to raising a patient's standard of living. Tumors in different regions of the body are evaluated using a variety of imaging techniques, with MRI pictures being utilized mostly for …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 8–13 Read article
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Systemic Lupus Erythematosus Revisited: A Milestones in Classification, Mechanistic Insights on Pathogenesis, Diagnosis, and Evolving Treatment Paradigms
Abstract: Systemic lupus erythematosus (SLE) is a prototypic, multi-systemic chronic inflammatory autoimmune disorder characterized by extreme clinical heterogeneity and the potential to involve virtually any organ or tissue. The condition is driven by a fundamental breakdown in immune tolerance, resulting in the overproduction of pathogenic autoantibodies and the formation of immune complexes that precipitate widespread inflammation and organ damage. This review aims to provide an exhaustive synthesis of recent developments in …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 3, 2026 Read article
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Multi-spectral Data Simulation Method Based on Hyperspectral Data
Abstract: Deep learning algorithms have been widely used in remote sensing image classification and recognition. Due to the difference in parameters such as spectral response functions of different sensors, a single sensor sample dataset cannot meet the needs of other sensors. Constructing sample datasets for different sensors will seriously increase the workload. To solve this problem, this paper proposes a multi-spectral data simulation method based on hyper spectral data and analyzes …
Published in Journal of Remote Sensing & GIS · Vol. 10, Issue 2, 2019 · pp. 43–51 Read article
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Online Content based Approach of Network Extraction for Finding Weight, Size and Features
Abstract: In an online community, moderating the content created by users is a great challenge. Nevertheless, this paper is very costly to man-made workers. To end this, an automatic machine can arouse great interest to identify breaches of user content. Some ways to solve this problem, but word filtering or regular expression matches are most often seen in practice. The key drawbacks are their insecurity and their context-insensitive existence deliberately concealed …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 1, 2020 · pp. 23–30 Read article
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Efficient Energy Management using Artificial Intelligence (AI) and Machine Learning (ML) in Chemical Industry
Abstract: The globe is moving toward higher usage of renewable energy sources, particularly solar and wind energy, as a result of depleting fossil fuel supplies and growing environmental concerns. There are several forecasting methods available for effective wind energy utilization. This review uses algorithms for predicting solar and wind energy as well as artificial intelligence (AI) techniques. A wind-coal coupling energy system planning scheme was designed to lower the high energy …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 33–50 Read article
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Wear and Tribological Characteristics of Novel Metal Matrix Composites
Abstract: The development of advanced metal matrix composites (MMCs) with enhanced tribological performance has become increasingly important due to the premature failure of critical engineering components operating under severe wear conditions in automotive, aerospace, marine, defense, and power generation systems. Conventional composites such as Copper–Alumina and Aluminium–Silicon Carbide have demonstrated improved mechanical and wear characteristics; however, their widespread application is often limited by issues including particle agglomeration, non-uniform reinforcement distribution, porosity …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1326–1346 Read article
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A Review: Fusion of Face and Iris by using Support Vector Machine
Abstract: AbstractA new approach for personal identification based on the fusion of iris & face recognition is presented in this paper. Biometric innovations are the establishment of the personal identification system. A biometric system recognizes a person based on a few characteristics or forms. This is in many instances watched in the region of security, privacy, and forensics. Even for the great of unimodal biometric systems, it is frequently no longer …
Published in Journal of Electronic Design Technology · Vol. 9, Issue 3, 2018 · pp. 1–10 Read article