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674 articles for “patterns”
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Performance and Reliability Analysis of NAND Flash Memory through Characterization
Abstract: An extensive review of NAND flash memory technology is given in this study, with an emphasis on its design, guiding principles, and most recent developments. The importance of NAND flash memory in contemporary digital storage systems is discussed in general terms, emphasizing how widely used it is in everything from consumer electronics to business storage solutions. The underlying architecture of NAND flash memory, including the arrangement of memory cells, pages, …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 2, 2024 · pp. 21–27 Read article
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The Evolution of Bio Crypt Keys: From Concept to Implementation
Abstract: With the rapid increase in data exfiltration due to cyber-attacks, Covert Timing Channels (CTCs) have emerged as a significant and sophisticated network security threat. These channels exploit inter-arrival times of data packets to exfiltrate sensitive information from targeted networks. Detecting CTCs increasingly relies on machine learning techniques, which use statistical metrics to differentiate between malicious (covert) and legitimate (overt) traffic flows. However, as cyber-attacks become more adept at evading detection …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 38–45 Read article
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Exploring Practical Applications of Artificial Neural Networks: A Review
Abstract: Computational models called artificial neural networks (ANNs) are modeled after the structure of the human brain. These models are designed to process information and learn from data. Artificial neural networks, or ANNs, are composed of interconnected artificial neurons layered to resemble the brain's neural network.. Through training, ANNs adjust the connections between neurons based on labeled data, enabling them to recognize patterns and perform specific tasks. Despite their efficacy in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article
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Identifying and Implementing a Machine Learning Model Suitable for Processing Visually Evoked Potential
Abstract: A Brain-Computer Interface (BCI) is a system that translates brain activity patterns into computer commands, bypassing physical movement. Electroencephalography (EEG) is commonly used to acquire signals in BCI research. Visual evoked potentials (VEPs) are brain responses in the visual cortex to visual stimuli. Recent studies show that exposing individuals to flickering at a consistent frequency generates EEG signals synchronized with the stimulation. Efficient extraction of VEP signals begins with preprocessing …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Driver Observation and Automatic Braking System Using Arduino
Abstract: Autonomous braking systems and driver observation are two important developments in car safety technology that are intended to reduce accidents brought on by tired drivers. An eye blink sensor has been incorporated in the device. The sensors recognize an eye blink automatically once the driver starts the engine. This gadget displays the sensor's output so that it may be compared to the Arduino. The eye blink sensor gets a signal …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 28–33 Read article
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Avian Echoes: Convolutional Neural Network for Bird Vocalization Detection
Abstract: Bird species identification is a complex task within ornithology that demands advanced technological solutions. This research presents an approach leveraging Convolutional Neural Networks (CNNs) for bird species recognition based on identification of bird sound, each employing unique datasets and methodologies. The objective involves a two-stage identification process, beginning with the construction of an ideal dataset. The crucial step involves converting 1D audio waveforms to 2D spectrograms, enhancing CNNs' ability to …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 26–37 Read article
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Time-Series Analysis of Uber Ride Trends
Abstract: This article provides an in-depth analysis of Uber's data analytics, clarifying its crucial role in revolutionizing the transportation industry. It provides vital insights for stakeholders by carefully examining rider patterns, driving behaviors, and market dynamics. This study provides a thorough knowledge of Uber's impact on urban transportation and socio-economic landscapes by combining existing research and proposing fresh approaches. Uber is a digital company that has made multiple attempts to leverage …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 34–38 Read article
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Spirituality-Based Psychotherapies in Relation to Social Media Addiction: A Review
Abstract: Social media addiction has become a pressing concern, characterized by compulsive usage that significantly impacts mental health. In the digital age, where the boundaries between the virtual and the real have blurred, social networking sites (SNS) have emerged as pivotal platforms that shape the lives of young people. Most people's life now revolve around social networking sites, particularly those of teens. Excessive engagement with social media can have adverse effects …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 2, 2024 · pp. 39–47 Read article
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Optimization of Automatic Energy Management System Using Renewable Resources
Abstract: With the increasing demand for energy efficiency and sustainability, smart home energy management systems (SHEMS) have emerged as promising solutions to optimize residential energy consumption. This paper presents a comprehensive review of SHEMS technologies, focusing on their design, implementation, and impact. SHEMS integrates advanced sensors, real-time data analytics, and intelligent algorithms to monitor, control, and optimize energy usage within the home environment. By leveraging machine learning and predictive modelling techniques, …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Skin Cancer Detection System Based on Machine Learning for Recognition of Cancerous Images
Abstract: Skin cancer ranks among the most prevalent types of cancer globally and poses significant risks when left untreated. Skin cancer arises when abnormal cells proliferate uncontrollably in the skin. This uncontrolled growth can be triggered by genetic mutations, exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds, or various other factors. In this, the early detection of cancer plays a crucial role in treatment and …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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A Cross-cultural Analysis of the Utilization and Efficacy of Traditional Herbal Medicine to Cure High Blood Pressure Among People of Rawalakot
Abstract: Safety and efficacy of herbal medicines have not yet been established in treating hypertension. The current study examined the prevalence of herbal medicine use among hypertensive patients in Rawalakot, Poonch, Azad Jammu and Kashmir. The study included 100 hypertensive patients using systemic random sampling. The independent variables were herbal medicine and conventional medicine, while the dependent variable was hypertension. The most known and used herbal medicine was garlic followed by …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 1, 2024 · pp. 21–32 Read article
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A Comprehensive Review on Long-term Care Policies for Intellectual and Developmental Disabilities
Abstract: Intellectual disability (ID) is a neurodevelopmental difficulty that affects both intellectual functioning and adaptive behaviour. The term IDD describes a broad range of long-term disorders that are caused by either physical or mental deficits. These disorders can influence numerous facets of life, such as self-care, social skills, communication, and education. This condition affects social and practical abilities daily. Conditions like cerebral palsy, Down syndrome, and autism spectrum disorder, Genetic predispositions, …
Published in International Journal of Trends in Humanities · Vol. 1, Issue 2, 2024 · pp. 36–42 Read article
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Visualizing Complexity: Navigating Algorithms with Algorithm Visualizer
Abstract: We think that studying algorithms may be amusing and exciting. Many students are currently struggling, but we hope to change that. Our strategy is to emulate gaming while learning. We're building hands-on learning exercises, such as mazes and patterns, to convey key concept. To help students understand how algorithms function in practice, we also use some stunning visualizations. Three major categories of algorithms are under our purview: sorting, pathfinding, CPU …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 1, 2024 · pp. 21–26 Read article
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A Comprehensive Review on Inclusive Education: Critical Approach to Supporting Children with Autism
Abstract: A developmental illness that affects people to varied degrees over a range, autism spectrum disorder (ASD) is defined by difficulty with social interaction, communication, and repetitive activities. This study investigates useful methods for integrating ASD children into regular educational settings. The aim of inclusive education is to integrate students with autism spectrum disorder (ASD) into mainstream classroom environments. The review paper employed a systematic literature review approach, together with comparative …
Published in International Journal of Children · Vol. 1, Issue 2, 2024 · pp. 24–30 Read article
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Analyzing Flood Return Levels Using the Gumbel Distribution in Niamey, Niger
Abstract: Floods are among the most severe natural disasters, capable of causing significant damage to both the environment and society. This research utilizes the Gumbel distribution to analyze flood return levels by examining historical data from Niamey, Niger. The study focuses on river heights, flow rates, and precipitation patterns to understand the dynamics of flooding in the region. By analyzing these parameters, the research aims to identify severe weather trends and …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 1–12 Read article
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Cybersecurity Innovations in Industrial Control Systems
Abstract: Industrial control systems (ICS) are essential for automating and managing industrial processes across a broad spectrum of sectors, including energy, manufacturing, transportation, and water treatment. Securing these systems is essential to avoid disruptions that could lead to significant economic losses and safety risks. Recent advancements in ICS cybersecurity encompass several key areas that collectively aim to bolster the security and reliability of these critical infrastructures, thereby enhancing industrial safety. Enhanced …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 2, 2024 · pp. 15–19 Read article
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Analytical and Statistical Analysis of Reinforced Concrete Frame Structure Subjected to Blast Loading
Abstract: Blast loading represents one of the most hazardous and destructive forces that structures may encounter throughout their life span. Understanding and mitigating the effects of such loading is crucial for ensuring the safety and resilience of buildings. This study focuses on analyzing the behavior of reinforced concrete (RC) frame structures when subjected to blast loading, with the aim of informing more robust and resilient building designs. The research specifically examines …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 84–91 Read article
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Innovative Approaches in Design and Materials for Climate-adaptive Transport Infrastructure
Abstract: This comprehensive research delves into pioneering approaches in design methodologies and the utilization of advanced materials aimed at significantly enhancing the resilience of transportation infrastructure against the multifaceted and escalating impacts of climate change. As critical challenges such as sea-level rise, increased frequency and intensity of extreme weather events, and changing precipitation patterns become more prevalent, there is an urgent need for innovative materials and integrated design strategies that can …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 14–19 Read article
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Glaucoma Detection Using CNN
Abstract: The word “glaucoma” refers to both the progressive loss of retinal cells within optic nerve, and the gradual loss of vision caused by optic neuropathy. A condition that affects eye vision is called glaucoma. This condition is thought to be permanent and causes visual impairment. There are no early warning signs of this glaucoma in them. The effect is so subtle that we could not even observe that your vision …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 1, 2024 · pp. 7–15 Read article
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Specialized Education in Enhancing Life Satisfaction Among Caregivers of Children with Autism
Abstract: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition that significantly impairs a person's ability to communicate, engage in social interactions, and exhibit typical behavioral patterns. Raising a child with autism presents several difficulties for couples. Specialized education can be beneficial for children with autism. The study aims to identify the role of special education and satisfaction rates among autistic caregivers. The result shows that special education causes a 37.9 …
Published in International Journal of Children · Vol. 1, Issue 2, 2024 · pp. 38–42 Read article