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518 articles for “AI reliability”
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A Study to Assess the Awareness of the Breast Cancer Screening Among Teacher Training Students in Selected Teacher Training Institutions at Mysuru with the View to Conduct Educational Program
Abstract: Background: Cancer is one of the major causes of death both in developed and developing countries. Breast cancer is defined by the uncontrollable proliferation of cells within the breast, encompassing different forms of cancer that impact the breast tissue. The majority of breast cancer cases manifest as painless lumps, while a smaller percentage may exhibit additional symptoms. Breast cancer is amenable to almost complete care if detected in its early …
Published in International Journal of Oncological Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 17–31 Read article
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Rise of Python: Analyzing Its Dominance in 2023 Programming Trends
Abstract: The study is on how Python rose as a leading programming language in 2023 and what are the top reasons of this ubiquitous utilization among industries. The Python programming language has been a go-to choice for both beginners and developers alike, courtesy of its versatility in working over various domains like Data Science, Machine Learning Web Development Automation etc. By having a vast library and framework ecosystem, supported by popular …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 43–47 Read article
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Comparative Efficacy of Hybrid Capture 2 and Real-Time PCR in Detecting High-Risk HPV Genotypes for Cervical Cancer Screening
Abstract: Human papillomavirus (HPV) infection is a leading cause of cervical cancer, making early detection critical for effective prevention and treatment. Among the diagnostic methods available, Hybrid Capture 2 (HC2) and Real-Time Polymerase Chain Reaction (PCR) are widely used for detecting high-risk HPV genotypes, particularly HPV 16 and 18, which account for the majority of cervical cancer cases. This review aims to compare the efficacy of HC2 and Real-Time PCR in …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 2, 2024 · pp. 13–17 Read article
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Efficient Energy Management and Utilization Using IoT Enabled Intelligent System
Abstract: Energy is essential for economic development, and the demand for electricity is rising at an extraordinary pace. Currently, fossil fuels remain the main source of global power generation, but these resources are limited and detrimental to the environment. Therefore, there is an urgent need to broaden energy sources and transition towards cleaner, sustainable, and renewable options. This paper examines the potential of multi-source power generation and usage as a viable …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 1, 2025 · pp. 38–45 Read article
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A Review of Machine and Deep Learning Techniques for Cyber Security
Abstract: Nowadays in the digital landscape, cyber threats and attacks are increasing in an exponential manner, posing server risks to organizations and critical infrastructures. Data breaches often result from sophisticated threat models that exploit vulnerabilities in networks, systems and user behaviors. Cyber solutions are increasingly incorporating machine learning and deep learning to prevent and mitigate these security issues. These technologies have the potential to detect anomalies, classify threats and predict potential …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 01–07 Read article
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Screening for Deviant Voice Characteristics in School Children
Abstract: Objectives: Early detection of voice disorders in children has obvious advantages but it is challenging due to lack of appropriate screening tool and referrals. The present study aims to estimate the prevalence of vocal deviancies in children through screening and to confirm the results with acoustic measures. This also serves to create awareness among teachers, to make appropriate referrals. Method: 260 children aged 4.1 to 10.11 years were screened using …
Published in Research and Reviews: A Journal of Health Professions · Vol. 9, Issue 1, 2019 · pp. 59–64 Read article
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Revolutionizing School Schedules: An Arduino-Based Automatic Class Bell System with Real-Time Precision
Abstract: A sound that evokes nostalgia, signals transitions, and dictates the rhythm of academic life. However,the traditional reliance on manual bell ringing is prone to human error, inconsistencies, and inflexibility. This work explores the design and implementation of an Arduino-based automatic class bell system leveraging a Real-Time Clock (RTC) module to provide accurate and reliable bell timing. This system offers a significant upgrade over manual systems, streamlining school schedules and improving …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 35–44 Read article
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Progressive Collapse Prevention Analysis of Multi-Storeyed Buildings by Using Pushover Analysis
Abstract: AbstractThis paper investigates an actual structure’s potential to break due to progressive collapse. This report looks into the progressive collapse resistance of high-rise RC structures. Progressive collapse of building constructions, primarily concentrates on concrete structures. Progressive collapse of a structure occurs when major structural load carrying members are removed suddenly. A progressive collapse is initiated as a consequence of local structural damages. It produces a chain reaction mechanism, into a …
Published in Journal of Structural Engineering and Management · Vol. 4, Issue 3, 2017 · pp. 17–23 Read article
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The Adoption of Artificial Intelligence in Different Network Security Concepts
Abstract: The obstacles of each security system combined with the increase of cyber-attacks, negatively affect the effectiveness of network security management and rise the activities to be taken by the security staff and network administrators. So, there is a growing need for automated auditing and intelligent reporting strategies for reliable network security with as less model complexity as possible. Newly, artificial intelligence has been effectively applied to various network security issues, …
Published in Journal Of Network security · Vol. 11, Issue 3, 2023 · pp. 30–43 Read article
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Intelligent Robotics using microelectronics Exploring the Future of Smart Machines
Abstract: In the past few years, robotics technology has made remarkable progress. In order to assist humans in their work, robots that can recognise and track people are required; as a result, tools like the "Human Following Load carrier" that can converse and live with people must be created. Localising the robot and its surroundings is one of the primary obstacles in enabling the robot to do different jobs in the …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 10–17 Read article
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Predictive Analytics and Adaptive Learning: A Machine Learning Framework for Reducing Learning Gaps
Abstract: Most contemporary digital learning environments encounter persistent challenges when it comes to accurately identifying students who are at-risk of academic underperformance. These challenges often arise due to limited visibility in learners’ engagement levels and gaps in conceptual understanding, particularly during the early stages of a course. To address this issue, the present study proposes an early prediction framework that leverages comprehensive student-related data through the application of machine learning techniques. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 16–21 Read article
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Selection of Maintenance Strategy Using Hybrid AHP-VIKOR Approach for a Smart Manufacturing Application in Industry 4.0
Abstract: In Industry 4.0, choosing the right maintenance strategy is important for improving machine performance, reducing downtime, and ensuring smooth operation in smart manufacturing systems. This study aims to find the most suitable maintenance strategy for a customized machine-making company by using a combination of AHP and VIKOR methods. In this study, four types of maintenance strategies are considered: breakdown maintenance, time-based maintenance, condition-based maintenance, and predictive maintenance. First, the AHP …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 1–11 Read article
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Navigating the Horizon: Current Trends in Elevating Quality Assurance in Clinical Research
Abstract: The landscape of clinical research quality management has evolved significantly in recent years, driven by stringent regulatory frameworks and globalization of trials. This evolution underscores the importance of integrating quality into all aspects of the clinical trial process from design to postresearch activities. Concepts such as Good Clinical Practice (GCP) and Quality by Design (QbD) are central to ensuring the reliability and accuracy of trial data while safeguarding patient safety …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 1, 2024 · pp. 1–8 Read article
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Deep Learning based Solution for Leaf disease Detection in Crops and Fertilizer Recommendation
Abstract: The field of agriculture faces significant threats, including diseases that attack plant leaves. To address this issue, our system assists farmers in promptly detecting plant diseases using advanced technology. The user, typically a farmer, only needs to capture an image of the affected leaf and input it into our system. Our system then analyzes the uploaded image to accurately identify the specific disease afflicting the leaf. This analytical process is …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 31–40 Read article
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A Study of Passenger Satisfaction on Public Transport in Gudalur Town
Abstract: This study aims to explore the factors influencing passenger satisfaction with the public transportation system in Gudalur Town, located in the Nilgiris district of Tamil Nadu. Public transportation is a critical service for the town's residents, providing mobility for daily commutes, education, and access to essential services. The study employs a combination of surveys and interviews to assess commuter satisfaction across several key dimensions, including service reliability, affordability, comfort, safety, …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 17–21 Read article
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OBD-II Big Data–Driven ML and AI-Based Virtual Sensing for Fuel Economy, Component Health, and Carbon Intelligence
Abstract: The rapid growth of connected vehicles has led to the large-scale availability of high-frequency On-Board Diagnostics II (OBD-II) data; however, much of this data remains underutilised, as existing studies and commercial systems typically address fuel economy, maintenance, or emissions in isolation or rely on additional physical sensors. Such fragmented and sensor-dependent approaches limit scalability and increase system cost, particularly in high-volume and resource-constrained vehicle markets. To address this gap, this …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 41–52 Read article
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Modelling of Peer to Peer Sharing of Power within Solar Based DC Microgrids
Abstract: Solar based DC microgrids and home-based systems have been a reliable option to solve rural electrification problems in many parts of the world. However, there is a pertaining problem of mismatch between local demand and on-site generation in such microgrids. Proposed work attempts to address this problem by developing an optimal peer-to-peer (P2P) energy sharing among the individual households in a DC microgrid. A nonlinear optimization problem is formulated that …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 44–48 Read article
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Role of Fatigue and Creep in Structural Damage: A Comprehensive Review
Abstract: Fatigue and creep are two critical degradation mechanisms that significantly influence the structural integrity and longevity of engineering materials. These phenomena arise due to different loading and environmental conditions but often coexist in various industrial applications, leading to severe material degradation over time. Fatigue primarily results from cyclic loading, where repeated stress variations induce microstructural damage and crack initiation, ultimately causing catastrophic failure. Conversely, creep occurs under sustained stress at …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 22–26 Read article
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Safety braking system to avoid the failure in air brake Hoses
Abstract: The braking system represents one of its most important components of any vehicle, as a failure can result in devastating accidents. This study describes the design and development of an Air Brake Hose Failure Detection and Safety Braking System to address the problem of brake failure in big vehicles. The system monitors the condition of air brake hoses in real-time and provides audio-visual alerts to the driver in case of …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 51–55 Read article
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Are smart refrigerators the way of the future for storing food?
Abstract: Smart refrigerators are changing the way people store food by using new technologies including Wi-Fi, artificial intelligence (AI), internal cameras, voice control, and inventory management systems. This article looks at how smart refrigerators are changing in homes and businesses, looking at how they could make things easier, cut down on food waste, and save energy. New technologies including Wi-Fi, internal cameras, voice control, artificial intelligence (AI), and inventory management systems …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 1, 2026 · pp. 11–12 Read article