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279 articles for “classifier”
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article
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AI-Based Machine Learning Web Application Firewall (ML-WAF)
Abstract: This research investigates the use of deep learning techniques for the real-time detection of malicious activities in web traffic and proposes an intelligent, AI-driven Web Application Firewall (WAF) designed to provide automated and adaptive security. The system analyzes diverse components of HTTP requests, including request methods, URLs, headers, cookies, and payload content, to accurately identify and classify malicious behavior. The proposed model targets a wide range of common and critical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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A Review of Automated Pomegranate Disease Detection and Classification Using Machine Learning
Abstract: The abstract outlines a research study focused on developing an automated system for detecting and classifying diseases that affect pomegranate fruits. Pomegranates, like many other crops, are vulnerable to several types of diseases that appear as visible colored spots on the fruit’s surface. These visible symptoms, such as lesions or discoloration, can significantly impact the fruit’s quality, market value, and yield. Therefore, timely and accurate identification of such diseases is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 01–13 Read article
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Advanced AI based Energy Monitoring and Demand Prediction with Theft Detection
Abstract: This paper presents a study on an AI-based energy management system, which is designed for real-time monitoring of energy consumption for theft detection and energy demand prediction. Our energy management system has voltage and current sensors for energy consumption measurement and provides real- time data on voltage (V), current (mA), and energy units. We have implemented Machine Learning algorithm SVM to improve the process of theft detection by identifying anomalies …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 1, 2026 Read article
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ML Analysis of Factors Affecting Vaccination in Rural Children: A Machine Learning Approach
Abstract: Vaccination remains one of the most effective public health interventions for preventing childhood diseases, yet rural regions in India continue to experience uneven immunization coverage due to multiple socioeconomic and geographic barriers. This research applies machine learning techniques to identify and analyze the major determinants influencing childhood vaccination uptake in rural communities. The study utilizes survey-based demographic, socioeconomic, and healthcare-related parameters to build predictive models that classify children as vaccinated …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 Read article
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Description & Prevention of Omicron
Abstract: November 9, 2021, Botswana becomes the first country to recognise it (Nov 11 2021). The new variant (B.1.529) has been represented in 77 countries. Omicron presents 32 changes in spike protein Scribd, restricting the point of interaction with the ACE2 receptor protein. Computational shows and components’ recreation has been applied to investigate the collaboration between the SARS-CoV-2 RBD and the ACE2 receptor. The receptor-binding domain (RBD), which more barely joins …
Published in Research & Reviews: A Journal of Pharmacognosy Read article
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An Approach towards in Management of Chronic Kidney Disease
Abstract: The current international guidelines define and classify the chronic kidney disease (CKD) as decreased kidney function shown by decreased glomerular filtration rate (GFR). Glomerular filtration rate of 60 ml/min/1.73 m 2 for at least 3 months is a marker for kidney damage. The underlying causes for chronic kidney disease are proteinuria and hypertension. It is the main cause of CKD in many high-, middle- and low-income countries. In different countries, …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 12, Issue 1, 2025 · pp. 9–15 Read article
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An Overview of Spam Detection Techniques
Abstract: Spam is also known as unsolicited commercial email (UCE) has become a major worry for the internet's and worldwide commerce's long-term viability. Fake emails and other forgeries, such as phishing, are examples of spam emails. Which aim to collect confidential personal information about users on the network or to act illegally against authority. Spam produces a variety of issues, which can result in financial losses. Spam creates bottlenecks and traffic …
Published in Journal of Advancements in Robotics Read article
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Live Integrated Facial Observation (L.I.F.O.)
Abstract: A human face is the most influential part of humans that can uniquely identify a person. Using all the facial characteristics as biometric, the LIFO system can be applicable in many different ways. Like in everyday life, the most mandatory task in any organization is attendance marking. Earlier, people used to mark their presence using paperwork but now along with the advancement of technology, this system has also changed and …
Published in Journal of Advancements in Robotics Read article
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Intrusion Detection Using ANN Machine Learning for MIM, DOS, BO
Abstract: Intrusion detection system is a software program developed to use on computer systems so that it can identify intrusion attack with help of different techniques like the machine learning algorithms. The variety of assaults over the internet has multiplied through the years because of the development and smooth availability of computing technologies. Attackers develop new attack types, so in order to save you from those assaults, intrusion detection systems must …
Published in Journal Of Network security Read article
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Analysis of critical constraint factors affecting the performance of Transportation projects
Abstract: Infrastructure is a country's biggest source of economic growth, which is made up of a variety of facilities and processes. It includes all the amenities and services required for urbanization, economic expansion, improved quality of life, and thriving companies. Transportation is one of the most important industries for any nation's economy, but constraints exist in all working environments. A construction constraint is a condition that makes it difficult to achieve …
Published in International Journal of Urban Design and Development · Vol. 1, Issue 1, 2023 · pp. 54–78 Read article
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Predicting and Prohibiting the Risk of Heart Failure Using Machine Learning
Abstract: It is challenging to estimate the likelihood of complex chronic disease while treating conditions like heart failure. The application of machine learning, an area of artificial intelligence, in cardiovascular care is growing quickly. In essence, it defines how computers classify and understand data, or choose a task with or without human intervention. The theoretical underpinnings of machine learning are models that accept input data (such as images or text) and …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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A Descriptive Study to Assess the Awareness on First Aid of Fracture Among Selected Rural Public of Mysuru
Abstract: First aid refers to the prompt care given to a person who has been suddenly ill or injured until expert help is available or until the individual has recovered. Providing initial care to an individual with a minor injury is classified as first aid, wherein the application of first aid techniques suffices for treating minor burns, wounds, and insect stings. One ailment that requires emergency care is fracture, which will …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 1–5 Read article
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Study of Finite State Machines as Language Recognizer
Abstract: Finite State Machines (FSMs) play a fundamental role in computer science and linguistics as language recognizers. This study presents an exploration of the principles and applications of FSMs as efficient tools for recognizing formal languages. The study delves into the theoretical foundations of FSMs and their practical implementation in various language recognition tasks. The fundamental ideas of FSMs, including as states, transitions, and input symbols, are introduced in this study. …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 18–24 Read article
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Assessing the Performance of DL Methods in Handwritten Digit Recognition
Abstract: Handwritten digit recognition is a computer vision task that involves the automatic identification and classification of hand-written digits. The objective is to develop models capable of accurately recognizing and distinguishing digits handwritten by humans. With the development of machine learning and deep learning techniques, this field has advanced remarkably. The convolutional neural network (CNN) is the most often used technique for this purpose. By utilizing CNN, the model can learn …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 25–32 Read article
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A Novel Approach to Fingerprint Authentication Using Histogram Oriented Gradients for Feature Extraction and Machine Learning Convolution Neural Network for Classification
Abstract: With applied biometrics, it is possible to identify a person by examining a feature vector of attributes derived from their physical and behaviour characteristics. In biometrics, fingerprints have become one of the most famous and well known techniques of identification and authentication. In light of technological advancements and safety, fingerprint recognition has been successfully used in a variety of Civil, Defence, and Commercial applications for more than a decade. The …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 1–12 Read article
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Deep Guard: A Comprehensive Deep Learning System for Unmasking Suspicious Activities in Surveillance Footage
Abstract: These days, video surveillance is quite vital. Technology has evolved considerably as machine learning, artificial intelligence, and deep learning become increasingly widespread. There are several algorithms that assist in identifying distinct kinds of suspicious behaviour from live footage by combining the techniques. A person's behaviour is the most unpredictable thing, and it can be quite challenging to determine whether it is normal or suspicious. Video surveillance is automated to address …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 1, 2023 · pp. 23–28 Read article
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A Case Study on Ayurvedic Management of Psoriasis.
Abstract: Psoriasis is non-contagious, chronic autoimmune disease which causes inflammation and hyper-proliferation of the skin. It is characterized by erythematous plaques that are clearly defined and associated with severe itching and silvery scaling, especially on extensor surfaces, scalp and nails. At times, it may manifest as localized or generalised pustular eruption which usually follows relapses and remissions pattern. Psoriasis may lead to other autoimmune diseases like psoriatic arthritis. In Ayurveda, Variety …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 1, 2024 · pp. 18–22 Read article
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Nutraceuticals: Bridging Nutrition and Medicine for Future Wellness
Abstract: Nutraceuticals are items that can be classified as food or a component of food and provide medical or health benefits. This paper discusses the concept of nutraceuticals, their classification, and their role in promoting health and wellness. As of 2023, the worldwide nutraceuticals market is expected to be valued at approximately USD 317.22 billion, indicating a high rate of increase. Growth is projected to reach USD 626.02 billion by 2029 …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 2, 2024 · pp. 26–36 Read article
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Real Time Characterization of BA.2.86 and Its Variant (JN.1) in Senegal Using Midnight Protocol
Abstract: During the week ending August 13th, 2023, the most prevalent variant of interest (VOI), uploaded to GISAID, was the BA.2.86 variant. This SARS-CoV-2 Omicron lineage was described as the first phylogenetically distinct from the currently circulating SARS-CoV-2 Omicron XBB lineages, including EG.5.1 and HK.3. Compared to the XBB and BA.2 lineages, the BA.2.86 possesses more than 30 mutations in the Spike (S) protein, suggesting a significant potential for immune evasion. …
Published in International Journal of Vaccines · Vol. 1, Issue 2, 2024 · pp. 16–21 Read article