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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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FIXED FUNCTIONAL APPLIANCES- A REVIEW
Abstract: AbstractFunctional orthopaedic treatment seeks to correct malocclusion and harmonize the shape of dental arch and orofacial function. Correcting class II malocclusion is always challenging as it has complex and multifactorial aetiology. Age of patients and appliance selection plays an important role in the overall outcome of the treatment. Stable results in class II patients have been achieved with growth modification using functional appliances. An orthodontist has wide variety of fixed …
Published in Research and Reviews: A Journal of Dentistry · Vol. 11, Issue 2, 2020 · pp. 20–33 Read article
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Identifying COVID-19 in chest X-ray and CT scan images through the application of machine learning algorithms.
Abstract: Since the beginning of the current COVID-19 pandemic, more than five million people have been infected and the numbers are still on the rise. Early symptom detection and proper hygienic standards are thus of utmost importance, especially in venues where people are in random or opportunistic contact with each other. To this end, automated systems with medical-grade body temperature measurement, hygienic compliance evaluation and individualized, person-to-person tracking, are essential, not …
Published in Research and Reviews : A Journal of Immunology · Vol. 13, Issue 2, 2023 · pp. 13–21 Read article
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Ventricular Arrhythmia Detection Techniques for ECG Signal: A Survey Approach
Abstract: Electrocardiogram (ECG) represents the electrical activity of the heart and is used to measure the rate and regularity of heartbeats. In this paper we propose a method for an Independent Component Analysis (ICA) based detection and classification of the ventricular arrhythmia. The malignant ventricular arrhythmia database from www.physionet.org/physiobank/database/vfdb has been utilized for evaluating the algorithm over MATLAB interface. This scheme assimilates ICA and probabilistic neural network for classifying critical arrhythmia …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 5, Issue 1, 2015 · pp. 25–30 Read article
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Effectiveness of Practice-Based Professional Development in Enhancing Stem Teachers
Abstract: STEM is about science technology engineering and math all put together in school work. Small group talks are seen as a good way to help students learn in these classes but it depends on things like how much the teacher knows about the topic and whether they feel ready to lead the talks. We looked at photovoltaics for this which mixes all the STEM areas and connects to solar power …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 30–35 Read article
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A Review on Quantum Dots and Their Bioimaging Applications
Abstract: Quantum dots are nanoscale semiconductor crystals engineered to emit highly intense, photo-stable luminescence with quantum yields reaching 90%. Structurally, they are synthesized as single-substance core types, hetero-structured core-shell architectures for enhanced stability, or blended alloys. They are further categorized by synthesis and functional traits into colloidal, magnetic, and highly fluorescent varieties, alongside specialized silicon and eco-friendly carbon-based variants derived from organic waste. Due to their exceptional optoelectronic properties, they are …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 16, Issue 2, 2026 · pp. 41–60 Read article
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Enhancing Explainability in Machine Learning Based Spam Email Detection Using LIME and SHAP
Abstract: Spam emails represent a continual and irritating cybersecurity issue due to the fast expansion of cyberspace communication. These messages are unwanted and, in some cases, dangerous, such as phishing schemes, identity theft, and the propagation of malware. They cause severe financial and data security threats to individuals and organizations. Conventional spam detection techniques, such as rule-based spamming, blacklisting, and keyword classification, are techniques that find it difficult to match adaptive …
Published in Journal Of Network security · Vol. 14, Issue 2, 2026 · pp. 35–48 Read article
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A Novel Approach for Confidence Estimation using Support Vector Machines for More Accurate Value Prediction
Abstract: Data dependencies create hurdles in exploiting instruction-level parallelism (ILP) among instructions. To overcome them, data value predictors are used which guess instructions’ result before it is actually executed. Thus, future instructions which depend on the outcome of that instruction executes sooner. But, since value prediction accuracy is very crucial in determining the amount of parallelism that can be exploited, confidence estimation is used along with it to lessen the value …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 2, 2014 · pp. 18–29 Read article
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A Review Paper on Comparison of Algorithms for Supervised Machine Learning
Abstract: AbstractSupervised learning attempts to create calculations that help deliver general speculations, which is able to do forecasts about future occasions. The objective of supervised learning is to manufacture a model of the segregation of class names in terms of predictor components. The classifier produced accordingly is then used to allocate class marks to the testing data where the estimations of the indicator elements are known, yet the estimation of the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 11–16 Read article
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An Intelligent Gray Wolf Optimizer: A Nature Inspired Technique in Intrusion Detection System (IDS)
Abstract: AbstractFeature choice algorithmic program investigates the knowledge to get rid of creaking, irrelevant, overabundance information, and everyone the while optimizes the classification performance. In this work, an intelligent grey wolf optimization (GWO) technique is used to select optimal feature subset for classification purposes. Grey wolf optimizer (GWO) is one of the most recent bio-enlivened optimization strategies, which impersonate the authority pecking order and chasing system of gray wolves in nature. …
Published in Journal of Advancements in Robotics · Vol. 6, Issue 1, 2019 · pp. 18–24 Read article
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Pattern Recognition Using Hybrid Meta-Heuristic
Abstract: Abstract—In this paper, two optimization algorithms i.e., Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA) are combined to produce a hybrid population-based algorithm PSOGSA. The approach of HPSOGSA is to use the assessment of PSO using the social thinking capability and the manipulation of GSA using the local search proficiency. To increase the performance of HPSOGSA, some benchmark functions are used. Two standard database ORL and YALE is used …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 100–108 Read article
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Detecting Hateful Content on Social Media
Abstract: Abstract: As humans have identified social media as an indispensable mode of interaction, their evil side seems to have spilled all over the social media platforms. With a humongous number of victims to hatred on the social media, we realized it must be rooted out. We proposed creating a classifier that learns from many a feature including lexical, semantic, syntactic, morphological and contextual features. This paper aims to revolve around …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 3, 2019 · pp. 25–31 Read article
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Sentiment Analysis Using Hybrid Feature Extraction for Hotel Reviews
Abstract: Interpersonal interaction destinations have become well known and normal spots for sharing wide scope of feelings through short messages. These feelings incorporate satisfaction, pity, tension, dread, and so forth. Breaking down short messages helps in recognizing the conclusion communicated by the group. Feeling analysis on hotel audits recognizes the generally speaking sentimentor assessment communicated by a commentator towards an inn. Numerous specialists are dealing with pruning the notion investigation model …
Published in Journal of Operating Systems Development & Trends · Vol. 8, Issue 1, 2021 · pp. 22–30 Read article
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Concepts of OOPS
Abstract: This paper aims at explaining the concept of Object oriented programming (OOP). Today, most of the software system is intended on Associate in Nursing Object-Oriented Programming (OOP) paradigm. Most programs as well as word processors, spreadsheets, information applications, and e-mail programs square measure object-oriented. Understanding the fundamentals of object-oriented style could be a requirement for extending Associate in nursing application to supply some user outlined behavior. Associate in nursing object-oriented …
Published in Recent Trends in Programming languages · Vol. 2, Issue 3, 2015 · pp. 21–23 Read article
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Business Analytics in Today’s World by Coupling Machine Learning and Process Mining
Abstract: Process development and management communities have recently paid a lot of attention to research on machine learning and process mining methodologies. Indeed, these strategies allow for equally automatic process & activity discovery, making them high-value services that aid in the reuse of information to aid decision-making. This article presents a two-layer methodology for determining the most important process patterns to execute based on the design context. At the same time, …
Published in E-Commerce for Future & Trends · Vol. 8, Issue 3, 2021 · pp. 43–49 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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Solitary Identification and Analysis of Considerate Nutritional Consumption and Identifying Malnutrition
Abstract: The food supply chain is in danger from various factors, including climate threats, such as heat waves, floods, droughts, and other extreme occurrences such as intensive livestock farming, demand for animal protein, practices for antimicrobial resistance and various other factors leading to serious food shortages and an increase in food prices. Malnutrition is a major issue, with an estimated 663 million individuals affected. Poor nutrition is a serious problem that …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 46–62 Read article
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FRUDON: A Fruit Donation Platform with Convolutional Neural Network Based Fruit Shelf-life Prediction for Mitigating Starvation
Abstract: According to the United Nations Global Hunger Index, India's hunger situation is portrayed as alarming, as it ranks 101st out of 116 nations. The government predicts that 69% of children under the age of 5 years would die from malnutrition and hunger by the end of 2023, as starvation deaths have grown widespread in the nation. To tackle this concern, the mitigation of food wastage has been recognized as a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 2, 2023 · pp. 27–34 Read article
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Diagnosing Pneumonia from Chest X-rays Using Deep Learning Algorithms Through Convolutional Neural Network, Transfer Learning and Fine Tuning
Abstract: Pneumonia is an inflammatory condition of the lungs that induces air sacs which leads to a contagious infection of lungs. Patients who are afflicted with the virus can be saved from death and the virus can be eradicated from spreading further through effective diagnosis. X-rays of the chest are frequently used to diagnose pneumonia. Detecting pneumonia from a Chest X-ray is typically slow and inaccurate. It is essential to identify …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 3, 2023 · pp. 8–16 Read article
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E-learning: A Paradigm Shift from Traditional in-Campus Learning to Multimedia Based Distance Learning in India Post COVID-19
Abstract: With the onset of novel corona virus pandemic in early 2020, the major hurdle faced by the educational institutions was to provide continuous and uninterrupted tutoring in the absence of physical availability of the students. Initially, the institutions felt tremendous pressure to provide education to the large amount of students due to the temporary closure of schools, colleges, universities, coaching classes etc. Thus, to overcome the difficulty of physical absence …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 9, Issue 1, 2022 · pp. 1–5 Read article
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Attack Detection and Analysis in Virtual Wireless Networks using Mininet-WiFi, CIC Flowmeter, Wireshark, and Machine Learning
Abstract: Mininet-WiFi is a powerful tool for creating virtual wireless network environments to test various networking scenarios. However, attacks like Distributed Denial of Service (DDOS) attacks can still affect these simulated networks. A CIC flowmeter can be used to monitor network traffic and Wireshark can be used to record and analyse network data in real-time to detect and analyse such assaults. However, the data obtained from these tools may be noisy, …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 1, 2023 · pp. 34–45 Read article