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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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A Classified Survey of Component-based Software
Abstract: Software reuse is the process of creating software systems from existing software rather than building software systems from scratch. The last decade performed the real attempt to turn software development into engineering through the concepts of Component-Based Software Development (CBSD) and Commercial Off-The-Shelf (COTS) components. This paper surveys the progress of component-based software in recent years with emphases on Architecture and measurement for component-based applications. CBSD has emerged as the …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 3, Issue 1, 2016 · pp. 20–28 Read article
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Classification of Network Violation Detection Using Machine Learning
Abstract: AbstractNowadays, network intrusion is one of the biggest issues in the internet services. To solve this kind of issues, we proposed a solution to develop suitable IDS using (ML) machine learning algorithms. The pre-alter engine in IDS extracts significant characteristics from each network pattern connections. The central engine uses advanced characteristics as training input, and outputs the binary analysis result, i.e., attack vs. normal.Keywords: Network, machine learning, networks pattern connectionsCite …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 3, 2017 · pp. 1–8 Read article
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A New Systematic Approach of Using SVM, KNN, PNN and CNN to Achieve Higher Accuracy for Classification and Recognition of Music Genre
Abstract: In order to overcome challenges like finding songs that are similar, figuring out which cultures would enjoy particular music, conducting surveys, and using music as therapy, classification and recognition of music genres are essential. The expansion of music-related content available online has created new opportunities for the development of music referral systems, which support user communities in searching, finding, sharing, and producing digitally. Our aim is to develop a systematic …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 1, 2023 · pp. 1–11 Read article
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Phishing URL Detection Using Machine Learning Classification Algorithms
Abstract: Phishing attack is utilized to get the data like username, secret phrase, financial balance subtleties, and credit card details. Today, is the most well-known cybercrime. Phishing assaults additionally influence the web-based installment area monetary organization, document facilitating or distributed storage, and numerous others. Phishing assault generally focuses to these Web locales which are connected with the internet-based payment area and Web mail. To stop phishing attacks, a variety of methods …
Published in Journal of Web Engineering & Technology · Vol. 9, Issue 3, 2022 · pp. 22–33 Read article
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Self-Learning SIEM System Using Association Rule Mining
Abstract: The rise of new security threats similar to polymorphic multi-step attacks, have made security something just more than perimeter defence, IDS/IPS, Firewalls, Anti-virus etc. Although, security techniques have evolved a lot, so have the attacks. Hence, a comprehensive solution is required wherein all the sensory controls can work in coherence. In this paper, we intend to propose a SIEM system with the self-learning capability which can produce optimized and efficient …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 10–23 Read article
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Speaker Identification using Hopfield Neural Network based Classifier
Abstract: The aim of this work is to enhance the performance of speaker identification using Hopfield neural network algorithm. Speech signals are collected from VALID Audio-Visual dataset and some speech signal pre-processing techniques are applied to process the speech to feed the Hopfield neural network algorithm. Filtering technique is applied to remove the noises from the speech signals. MFCC based standard speech feature extraction technique is used to extract the speech …
Published in Journal Of Network security · Vol. 3, Issue 2, 2015 · pp. 32–35 Read article
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Classification and Prediction of Weather Forecasting Dataset by using Artificial Neural Network
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 In the growing field of technology, wireless medium is playing a very important role. In this survey paper, different models which were used in the past for weather forecasting are discussed. In today’s Internet Technology, one of the most interesting model for accessing of various features. It shows how different models are important for different purposes. As it can be seen …
Published in Journal of Remote Sensing & GIS · Vol. 2, Issue 2, 2011 · pp. 1–4 Read article
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Wavelet Reduced-Order Observer-based Adaptive Tracking Control for a Class of Uncertain Nonlinear Systems
Abstract: This Paper investigates the mean to design the reduced-order observer and observer-based controllers for a class of uncertain nonlinear systems. A new design approach of wavelet-based adaptive reduced-order observer is proposed. The proposed wavelet adaptive reduced-order observer performs the task of identification of unknown system dynamics in addition to the reconstruction of states of the system. Owing to their superior learning capabilities, wavelet networks are employed in this work for …
Published in Journal of Instrumentation Technology & Innovations · Vol. 1, Issue 2-3, 2011 · pp. 16–22 Read article
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Education in India's Classical Traditions
Abstract: Gurukul pupils are more well-behaved and well-organized. In school, the importance is given to adhering to a well-defined timetable and routine. Pupils in this class are more attentive and have more concentration capacity than other students. This improves their ability to concentrate utilizing methods like meditation. Learning the Vedas, Brahmanas and Upanishad was the primary method of education in the ancient world. Sources of knowledge included medical treatises by Charaka …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 12, Issue 2, 2022 · pp. 22–26 Read article
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Herbal Treatment of Lipid Dysfunction: A Review of Procedures Correlated to the Use of Classical Remedy for the Treatment of Dysfunction
Abstract: AbstractResolution with review: The developments were made probable by the enhancement in organizational knowledge and augmented aptitude to recognize precise lipid moieties in definite subdomains. Current Discoveries: Lipid dysfunction largely demarcated, mentions to any genetic signaling occasion connecting a lipid envoy that fixes a protein, for example a receptor, kinase, or phosphatase, which in crack arbitrate the possessions of lipids on definite cellular rejoinders. In conclusion, the influence of lipid …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 12, Issue 3, 2022 · pp. 28–32 Read article
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An Efficient Method of Fault Analysis using Artificial Neural Network
Abstract: In the power system, there are many techniques to identify and classify the faults. So, it is utmost important to choose the suitable technique. In this paper, a novel technique based on ANN have been proposed. When abnormal conditions occur in the system, the purposed method identifies and classify the fault to protect the system from the faults and stop from the big hazards. Simulation of purposed Simulink model have …
Published in Current Trends in Signal Processing · Vol. 11, Issue 4, 2021 · pp. 9–25 Read article
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Distinctive Approaches for Improving the Aqueous Solubility of BCS Class II Drugs
Abstract: The most difficult feature of many novel chemical entities is their solubility behaviour, as 60 percent of new promising products suffer solubility limitations. This is the most common reason for novel medicine compounds failing to reach the market or performing to their full potential. The proportion of the aqueous phase when the solution is in equilibrium with the pure substance in its normal phase is referred to as aqueous solubility. …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 8, Issue 3, 2023 · pp. 52–56 Read article
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Stress Level and Coping Strategies Among the Students Preparing for Common Entrance Test in Coaching Classes of a Selected City
Abstract: Stress is a natural response of your body to any type of demand, whether it is a positive or negative experience. When individuals experience stress due to external factors, their bodies release chemicals into the bloodstream, which can be beneficial if the stress is caused by physical danger. However, if the stress is a result of an emotional situation and there is no way to channel this additional energy and …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 13–21 Read article
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Navigating the Digital Frontier: An In-depth Analysis of Classroom Digitalization
Abstract: When we talk about the Internet, we think about the likes of social media, or platforms like Google which has an unfathomable archive of information which is available for any and every individual to use up to their own likings. However, there are several challenges and complexities associated with the Internet's impact on social interactions. The issues of online harassment, privacy, and the addictive nature of social media have become …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 1, Issue 2, 2023 · pp. 14–20 Read article
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Prediction of Mobile Phone Price Using Machine Learning Classifiers
Abstract: One cannot imagine one's life without mobile phones; in today's digital era, mobile phones have become a necessity for everyone to fulfil their various demands like messaging, communication, entertainment, productivity, research, shopping and many more. In a thriving market of mobile phones where new smartphones are launched every year with new advanced features and various designs, determining the expense of a mobile can be a trouble-some tasks for consumers. In …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 101–108 Read article
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A review of the employing of Wavelet transforms and Classifier Artificial intelligence (AI) methods for detecting power transmission difficulties
Abstract: Power systems use large interconnections to transmit and distribute electric power. For power transmission, the same voltage levels are used for minimum transmission losses. During power transmission faults may occur due to natural events such as lightning, strong wind, fire etc. Faults may occur between phase conductors to ground or between the phase conductors. Transmission line protection has been performed using the comparison of voltages and currents and activates the …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 2, 2024 · pp. 36–41 Read article
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Detection and Classification of Diabetic Retinopathy Using Deep Learning Techniques
Abstract: This project delves into the evaluation of three prominent deep learning architectures Basic CNN, ResNet, and DenseNet for their efficacy in detecting diabetic retinopathy from retinal images. Utilizing a diverse dataset, the study employs standard deep learning frameworks to train and validate each model. The focus extends to exploring the potential benefits of transfer learning on a limited dataset. Evaluation metrics like specificity, sensitivity, and accuracy are employed for a …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 64–69 Read article
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Advancement in Image Classification: Media Player Control Using Hand Gestures
Abstract: We explore the development of picture categorization methods in this paper, with an emphasis on how they are used to manipulate media players with hand gestures. Our investigation focuses on the development of machine learning techniques, particularly on supporting vector machines (SVM) and convolutional neural networks (CNN). SVMs are used to identify and authenticate people from digital photos or video clips, but CNNs are great at face detection, which is …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Pneumonia Detection and Classification Using Deep Learning
Abstract: Pneumonia, an infectious lung disease primarily caused by bacteria, often exacerbated by environmental factors, leads to the accumulation of pus in the lung’s alveoli. Accurate diagnosis through chest X-rays, ultrasounds, or lung biopsies is crucial to avoid misdiagnosis and ensure proper treatment, crucial for patients’ quality of life. Diagnostic capacities have been greatly improved by deep learning advances, especially with convolutional neural networks (CNNs). This research presents a robust CNN-based …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 9–19 Read article
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Crop Disease Prediction by Machine Learning
Abstract: The classification of Crop can be classified into several methods. The data set of crop leaf illnesses, notably Bacterial Leaf Blight disease (BLB), a crop leaf disease with significant outbreaks throughout Thailand, and Brown Spot Crop disease (BSR), is classified employing image classification in this study. Additionally, image processing technology is used for identifying different types of crop leaf disease. These algorithms include the Random Forest, Decision Tree, Gradient Boost, …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 21–25 Read article