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148 articles for “movement models”
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EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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Antimicrobial Protein Modelling Studies and Biophysical Characterization of Opsin Protein in Leptucapugilator
Abstract: Members of the Ocypodidae family and subgroup Ucinae, fiddler crabs are common in the world's tropics and subtropics. Leptucapugilator (Fiddler crabs), also known as the Atlantic sand fiddler crab or calling crab, is a species of decapod mollusc that belongs to the Uca family. They are Ocypodidae brachyuran crabs, some of the most recent aquatic organisms to reach the coast. West Africa, the Western Atlantic, the Eastern Pacific, the Indo-Pacific, …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 9, Issue 3, 2022 · pp. 35–45 Read article
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Harnessing Machine Learning for Stock Movement Prediction: A Review of Current Approaches
Abstract: Stock price prediction is a crucial task in financial analysis, aiding investors and traders in making informed decisions. This study investigates the use of deep learning methods, particularly Long Short-Term Memory (LSTM) networks, for predicting stock prices based on historical market data. The dataset, sourced from Yahoo Finance, consists of time-series stock price data, which is preprocessed, feature-engineered, and visualized to improve prediction accuracy. The model's performance is assessed using …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 29–40 Read article
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Lip Reading: Transforming Speech to Text
Abstract: Lip reading, the ability to interpret spoken language by observing lip movements, is a valuable skill that can aid in various applications, particularly in enhancing speech recognition systems. This project explores the implementation of a deep learning-based lip-reading model to improve the accuracy and robustness of speech recognition in challenging environments, such as noisy or audio-limited settings. The proposed lip-reading system leverages Convolutional Neural Networks (CNNs) and Recurrent Neural Networks …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 23–33 Read article
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Geotechnical study of a landslide reactivation in clay soils (central Piedmont, NW Italy).
Abstract: In March 2015, exceptional meteoric events occurred in southern Piedmont caused a remarkable rise of the rivers water level of the Tanaro Basin with flooding and many landslides. The engineering geological study reported here, concerns a triggering of a previous landslide occurred in 1982 in the hills, shaped in the marine sedimentary succession (Lugagnano Clay, lower Pliocene) of the southern Asti Reliefs, near San Martino Alfieri village. Detailed geological, morphological …
Published in Journal of Geotechnical Engineering · Vol. 7, Issue 1, 2020 · pp. 21–36 Read article
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Hydrological Modeling and Classification of Various Models: A Review
Abstract: Hydrology is the science which deals with the existence, movement and distribution of water of the earth, below the earth and earth’s atmosphere. As one of the branches of earth science, hydrology deals with the water in waterways and lakes, precipitation and snow, snow on the terrestrial and water underneath the earth and rocks. Hydrology has its links with meteorology, geography, measurements, science, material science and liquid mechanics. Engineers and …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 1–5 Read article
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Computer Vision Controlled Robotic ARM
Abstract: By combining sophisticated robotics and visual awareness, computer vision operated robotic arms have revolutionized technology. These devices are having a profound effect on a number of industries, from manufacturing processes to healthcare. Computer vision controlled robotic arms are altering the game with their ability to see, comprehend, and interact with their surroundings. In this study we have tried to develop and implement software and hardwares to improve the freedom of …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 3, 2023 · pp. 1–6 Read article
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Modelling of Wind-Wave Misalignment for Floating Offshore Wind Turbines
Abstract: The influence of the combined effects of wind and waves onto the performance of a floating offshore wind turbine (FOWT) is analyzed. A study of the wind conditions relative to the position of the aerodynamic rotor has been made, analyzing how the angle of incidence of the wind (angle of attack) varies with the wind direction and the inclination of the wind turbine mast as a consequence of the undulatory …
Published in Journal of Offshore Structure and Technology · Vol. 8, Issue 2, 2021 Read article
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A Novel Real Time Motion Detection Algorithm
Abstract: Constant identification of moving items is fundamental for feature reconnaissance. Foundation subtraction serves as an essential system normally used to portion the moving questions in picture successions taken from a camera. Some current calculations cannot calibrate changing circumstances and they require manual alignment in connection to the determination of parameters or a few speculations for element evolving foundation. A versatile movement division and recognition methodology is produced by utilizing movement …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 1, 2015 · pp. 8–15 Read article
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A Review of Semiconductor Solar PV Cell and Development of Solar Radiation Estimation Models
Abstract: Today’s life could not be imagined without energy (Power). It has become an integral part of day to day life. Traditionally, dependency was there on conventional sources of energy like coal, hydroelectric etc. But they are limited resources; also, they offer residue or pollution to the environment which is not desirable. These are the main reasons that the researchers inclined themselves towards the maximum exploration and make optimal use of …
Published in Journal of Semiconductor Devices and Circuits · Vol. 5, Issue 1, 2018 · pp. 20–26 Read article
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A Feasibility Analysis on New Drainage Channel to Control Flooding in Southwest Chennai Using Hydraulic Model
Abstract: Flood Management plays a major role in minimizing the socio-economic loss in a watershed. In the urban context, flood is due to uncontrolled settlements of migrated population along the length of surplus carrying channels. This study focuses on feasibility analysis of existing drainage channel and proposed drainage channel network as structural management measure for a watershed, proposed by public work department of Chennai to reduce the impact of flood. In …
Published in Journal of Water Resource Engineering and Management · Vol. 2, Issue 1, 2015 · pp. 1–7 Read article
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Human Body Movement Identification
Abstract: AbstractHuman Body Movement Identification is the recognition technique of moving human behavior, it detects and traces the moving human body movements. A 3D human body is expressed by a multi-joint model and describe the posture by a set of joint angles. It is necessary to recognize the human body movements for computer-human interaction. It is useful in many scientific and security fields. It can be used in camera surveillance, sports …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 8, Issue 1, 2021 · pp. 13–22 Read article
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Unveiling the Role of Lead Molecules in CADD: A Systematic Review
Abstract: The word "medicate plan" alludes to the objective creation of modern drugs. Arbitrary screening of engineered compounds, engineered of organically dynamic compounds based on actually happening drugs, amalgamation of basic analogs of actually happening lead particles, and usage of the bioisosteric hypothesis are a few of the strategies that have been utilized. As a result, the most recent drift in medicate plan is to either completely enhance a lead or …
Published in International Journal of Membranes · Vol. 1, Issue 1, 2024 · pp. 37–43 Read article
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IOT-based Line of Control Monitoring System
Abstract: AbstractIndian Security Border areas are normally considered as places where great deal of violence and intervention happens between several persons. This often caused the danger for the life of employees, soldiers and common people working and living in border areas. It is not possible for our soldiers to watch the borders at each and every moment. In this paper, we have proposed “automated monitoring system” as the solution of the …
Published in Journal of Operating Systems Development & Trends · Vol. 7, Issue 3, 2020 · pp. 1–8 Read article
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EFFICIENCY INCREASE IN MARINE WIND TURBINES
Abstract: The paper studies a method to increase the efficiency in floating marine wind turbines by modifying the pitch angle of the wind rotor blades to make the wind turbine operating at optimum conditions. The pitch angle is adjusted to its optimum value as a function of the tilt angle of the wind turbine mast when submitted to the wave movement. The analysis of the situation has led to a theoretical …
Published in Journal of Offshore Structure and Technology · Vol. 9, Issue 1, 2022 · pp. 37–49 Read article
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Hand-Tracking-Based Mouse Control for Touchless Human-Computer Interaction: Feasibility and Future Enhancement
Abstract: This paper presents a novel approach to human-computer interaction through a hand-tracking-based mouse control system using computer vision. The system utilizes OpenCV, MediaPipe, and the Cvzone Hand Tracking Module to identify and monitor hand movements in real-time. By utilizing hand landmarks, the system maps finger positions to cursor movement and enables essential functions such as clicking, scrolling, and double-clicking. The primary motivation for developing this system is to create a …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 18–25 Read article
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Ensuring Data Traceability Across Multiple Cloud Environments
Abstract: This study investigates the challenges and solutions for ensuring data traceability across multiple cloud environments. With organizations' increasing reliance on cloud infrastructure, maintaining data traceability is crucial for compliance, data integrity, and secure data management. The diversity of cloud systems, spanning public, private, and hybrid models, introduces complexities in tracking data lineage, access, and movement. This study delves into multi-cloud strategies' technical and operational hurdles, such as varying data formats, …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 08–22 Read article
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An Analysis of Multimodal Fusion in Deepfake Detection for Video Samples
Abstract: In today’s rapidly evolving digital landscape, deepfake technology stands as both a marvel and a threat to privacy and security. Deepfakes, hyper-realistic synthetic media created using artificial intelligence (AI), can deceive and manipulate on an unprecedented scale, from political propaganda to compromising videos of public figures. This research navigates deepfake detection, focusing on two advanced methodologies: the vision transformers (ViT) image classifier and the Meso4 method. The ViT model utilizes …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 19–27 Read article
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Numerical Analysis of Cyclone Separator
Abstract: The fluid dynamics of a three-dimensional cyclone separator were studied computationally. Commercial CFD software package, Fluent was used for the simulation. A multiphase Eulerian-Eulerian model incorporating the kinetic theory of granular flow (KTGF) was applied for simulating the air-solid movement. Momentum exchange coefficients were calculated using the Gidaspow drag functions. The kinetic energy fluctuation of mixture was characterized by varying the pressure values from 98Pa to 180Pa. Further computational and …
Published in Emerging Trends in Chemical Engineering · Vol. 5, Issue 1, 2018 · pp. 10–19 Read article
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Micro-Doppler Signatures for Human with Orbbec Sensor
Abstract: Micro-movements, such as oscillations, rotations or revolution of an object or structures persuade additional frequency modulations on reinstate radar signal, which generates sidebands about the object’s Doppler frequency, called micro-Doppler effect. Human body mechanics consist of various moving body parts, which generate unique micro-Doppler signatures. Using TFT (time frequency transforms and pattern recognition techniques; we can classify individuals based on their movements using micro-Doppler signatures. Preliminary results from a laboratory …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 1, 2021 · pp. 1–9 Read article