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1962 articles for “E.M. algorithm” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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A Taxonomy of Machine Learning Techniques
Abstract: Learning is any process by which a system improves performance from experience. Training a model simply means learning (i.e., determining) good values for all the weights and therefore the bias from labeled examples. Machine learning (ML) is a sub-field of artificial intelligence that creates machines which exhibits learning capability and improve their performance from experience without being explicitly programmed. ML focuses on the creation of computer programs that can access …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 3, 2021 · pp. 18–25 Read article
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Non-Lethal Protection of Farmlands Against Wild Animals and Crop Estimation
Abstract: This paper is an integrated smart system that aims to enhance productivity related to agriculture along with agricultural safety through modern technology. Crop estimation system uses IoT sensors and machine learning algorithms for the analysis of real-time environmental data in terms of soil moisture, temperature, pH levels, and humidity. This data will further be used to provide the optimal crop for cultivation and appropriate fertilizer requirements for prediction of requirements. …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 1, 2025 · pp. 18–24 Read article
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Intelligent Systems: A Study on Artificial Intelligence and Machine Learning
Abstract: Artificial intelligence (AI) and machine learning (ML) are dynamic branches of computer science that focus on developing systems capable of executing tasks commonly associated with human intelligence. These activities encompass making choices, resolving issues, understanding language, identifying patterns, and learning through experience. AI refers to the broad area of designing systems and frameworks that enable machines to perform tasks resembling human thought and behavior. This field integrates diverse technologies such …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 61–71 Read article
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An Optimal Memory Management Algorithm for Smart Home Gateway
Abstract: This paper proposes an optimal memory management algorithm using in smart home gateway for smart home system. Home gateway is the central component in the smart home, which manage many applications despite limited memory resources. During the application services running mode, addresses many problem. When a new application service node coming with required memory than which application or service node will be stopped or kicked out of memory to start …
Published in Recent Trends in Programming languages · Vol. 2, Issue 2, 2015 · pp. 1–6 Read article
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Intelligent Systems: A study on AI and Machine learning
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are dynamic branches of computer science that focus on developing systems capable of executing tasks commonly associated with human intelligence. These activities encompass making choices, resolving issues, understanding language, identifying patterns, and learning through experience. Artificial Intelligence refers to the broad area of designing systems and frameworks that enable machines to perform tasks resembling human thought and behavior. This field integrates diverse technologies …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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Design, Development, and Optimization of Autonomous Robots for Enhanced Performance
Abstract: Autonomous robots are transforming industries by executing complex tasks with minimal human intervention, improving efficiency, precision, and adaptability across various domains such as manufacturing, healthcare, logistics, and exploration. Their performance relies on a synergy of robust hardware design, intelligent control mechanisms, and advanced optimization techniques. This paper explores the key components of autonomous robots, including sensor integration, locomotion systems, control architectures, and decision-making frameworks that enable autonomous operation in dynamic …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 22–30 Read article
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Real-Time Sign Language to Speech Conversion Glove Using Arduino and Wearable Sensors
Abstract: This research work presents the design and development of a low-cost, wearable glove system for real- time sign language to speech conversion. The system employs an Arduino microcontroller integrated with flex sensors and an accelerometer to accurately detect hand gestures. The system translates hand gestures into audible speech through Bluetooth communication, enabling seamless interaction for hearing-impaired individuals. By converting sign language into speech in real-time, it significantly enhances communication accessibility …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 3, 2025 · pp. 10–18 Read article
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Cyberattack Detection System in Private Cloud
Abstract: As cloud computing adoption in colleges continues to rise, the security of private cloud systems has become a paramount concern. Data breaches resulting from cyberattacks can inflict severe damage to a university's revenue and reputation. This research proposes a novel machine learning-based cyber threat detection system tailored to the university's private cloud environment. The system's main objective is to continuously monitor the cloud infrastructure and employ advanced machine learning algorithms …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 2, 2023 · pp. 37–44 Read article
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Object Detection Using Deep Learning Algorithm
Abstract: Object detection is a computer technology related to computer vision and image processing that deals with detecting images of semantic objects of a certain class (for example cars, buildings, etc.) in digital images and videos. To detect objects, there are many algorithms available, in this paper YOLO algorithm is explored for detection of objects on real-time data. You Only Look Once (YOLO) is a state-of-the-art real time object detection system …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 2, 2021 · pp. 1–13 Read article
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An Exact Kolmogorov–Smirnov Test for the Logarithmic Series Distribution with Unknown Parameter
Abstract: AbstractIn this paper, we develop an exact Kolmogorov–Smirnov goodness-of-fit test in the case of logarithmic series distribution with an unknown parameter value. This test is conditional, with the test statistic being the maximum absolute difference between the empirical distribution function and its conditional expectation given the sample total. Some modifications are done on an algorithm previously proposed in the case of the Poisson distribution and used the modified algorithm for …
Published in Research & Reviews : Journal of Statistics · Vol. 2, Issue 2, 2013 · pp. 1–11 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 · Vol. 11, Issue 4, 2023 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 · Vol. 10, Issue 1, 2022 · pp. 46–53 Read article
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Morphological Clustering of Diagnostic Images by Advanced Hard C Means
Abstract: In the proposed approach, morphology technique is used to find the area affected in the diagnostic image and extract the same using adaptive threshold technique. To get more accurate segmentation, Hars C means algorithm is used.Here in this project compare and analyze the qualitative and quantitative performance of different operators. Adaptive canny operator have better performance than sobel and Roberts operator. By using the proposed method can improve PSNR, Noise …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 25–33 Read article
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Remote Disk Booting
Abstract: Now-a-days, the traditional disk-full technology will be replaced by the disk-less technology because of its advantage such as controlling from the central control system, managing large number of computer systems, reducing the redundancy of computer systems, reducing the energy consumption and costs. This project aims at creating a system for centralization of IT resources of an organization by building upon the concept of disk less booting. Disk-less technology provides a …
Published in Journal of Advances in Shell Programming · Vol. 7, Issue 2, 2020 · pp. 18–23 Read article
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Design of Full State-feedback Controller for Implementation on a Coupled Tank Process
Abstract: A typical coupled tank process has the difficulty in controller design because of assumed nonlinear flow resistance and interaction between tanks. This paper deals with design methodology of full state feedback controller with set point gain and the performance of which is compared with Zeigler-Nichols (ZN) tuned proportional plus integral plus derivative (PID) controller for servo response. The state feedback controller with set point gain yields better performance compared to …
Published in Journal of Instrumentation Technology & Innovations · Vol. 5, Issue 3, 2015 · pp. 18–24 Read article
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Tracking of Maximum Power Point for SPV Systems
Abstract: AbstractThis paper presents the optimization algorithm based maximum power point tracking techniques. Optimization of output of shaded and un-shaded photovoltaic array under either it is static or dynamic whether condition is the primary goal of each MPPT techniques. There are various aspects of each MPPT techniques such as cost effectiveness, simplicity of hardware and software, its implementation, requirement of sensor, level of popularity, level of accuracy and its convergence speed. …
Published in Journal of Semiconductor Devices and Circuits · Vol. 6, Issue 3, 2019 · pp. 33–45 Read article
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A Novel Technique Reduce Image Encryption And Decryption Time With Using Parallel Processing
Abstract: Electronic commerce commonly known as e-commerce, trade in products using the internet. Security at the e-commerce becomes more and more important. For example, if you pay through the internet you want to be sure, that nobody can get your payment information. To prevent the misuse of personal data in the field of online banking. Public key biometric identification is a sequence of bytes used to authenticate, biometric identifications are built …
Published in E-Commerce for Future & Trends · Vol. 2, Issue 3, 2015 · pp. 27–34 Read article
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Designing Aspects and Recent Advances in Digital Holographic Microscopy
Abstract: Recent advances in Digital Holographic Microscopy have been discussed in this paper, besides throwing some light on the designing aspects of optical components like beam splitter and neutral density filter for the optimization of system performance. Some important related subtopics like spectral resolution of digital holograms, and Fourier-synthesis holography have been technically discussed. The optimization of acoustical holographic components for use in renewable energy production is presented in this study. …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 2, 2025 · pp. 06–18 Read article
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Designing an Energy Efficient Induction Motor: Advanced Computational Intelligence Technique
Abstract: Abstract—This paper presents an advanced computational intelligence technique (CIT), modified particle swarm optimization (MPSO) for designing energy efficient three-phase induction motor (DEEIM) including active power loss effect. PSO performs well for small dimensional and less complicated problems but fails to locate global minima for complex multi-minima functions. Even if PSO algorithm is easy to implement and has been shown to perform well on various power system optimization problems, they may …
Published in Current Trends in Information Technology · Vol. 9, Issue 2, 2019 · pp. 5–13 Read article
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Survey on Techniques to Segment Salt Bodies in Seismic Images
Abstract: The areas in the earth which are rich in oil and natural gas also have huge deposit of salt below the surface. So, it is very important for the hydrocarbon industries to acquire the needed resources. The important challenge of seismic imaging is to detect subsurface salt structure which is required for the identification of hydrocarbon reservoirs and drill path planning. Unfortunately, the accurate identification and classification of large salt …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 1, 2021 · pp. 25–30 Read article