MACHINE LEARNING-BASED GROUND MOTION PREDICTION MODELS FOR WEST JAVA, INDONESIA by unknown

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Pre-production movie rating prediction using machine learning. (c2017) by Gerges, Firas Abdallah

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Machine Learning Based Real-Time Earthquake Signal Prediction by Tellab, Sara

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Two-Stage Deep Learning Solution for Continuous Arabic Sign Language Recognition Using Word Count Prediction and Motion Images by Shanableh, Tamer

“…This results in a single image representation per sign language word referred to as a motion image. CNN transfer learning is used to convert each of these motion images into a feature vector which is used for either model generation or sign language recognition. …”
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AI‐Enhanced PV Power Forecasting Using Cloud Thickness and Motion in Kayseri, Turkey by Levent Yavuz (22501784)

“…</p><p dir="ltr">This research seeks to fill this gap in research through the development of a new AI‐based PV forecasting model that incorporates cloud thickness, cloud motion, and solar position into the forecasting model. …”

Emulsification Characteristics Using a Dynamic Woven Metal Microscreen Membrane by Sabouni, Rana

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H.264/AVC Motion Vector Concealment Solutions Using Online and Offline Polynomial Regression by Shanableh, Tamer

“…This paper introduces two polynomial regression solutions for error concealment by predicting the values of motion vectors of lost macroblocks. …”
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HEVC Video Encryption with High Capacity Message Embedding by Altering Picture Reference Indices and Motion Vectors by Shanableh, Tamer

“…To extract message bits, an authorized decoder builds a classification model per video sequence and uses it for predicting the true values of the reference indices and motion vectors. …”
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Robust and novel attention guided MultiResUnet model for 3D ground reaction force and moment prediction from foot kinematics by Md. Ahasan Atick Faisal (15302410)

“…Several works have been done on predicting GRF&M from kinematic data captured from the subject’s body with the help of motion capture cameras. …”

Spatio-Temporal Feature-Extraction Techniques for Isolated Gesture Recognition in Arabic Sign Language by Shanableh, Tamer

“…The temporal features of a video-based gesture are extracted through forward, backward, and bidirectional predictions. The prediction errors are thresholded and accumulated into one image that represents the motion of the sequence. …”
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A Two-Tier Post-Processing Framework for Lightweight Video Anomaly Detection by Akhtar, Muhammad Hannan

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Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques by Hassan, Mahitab Alaaeldin

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Modelling of pollutant transport in compound open channels by Chatila, Jean Georges

“…The comparison between measured and predicted concentration curves by the developed model shows a level of agreement in the general shape, peak concentrations and time to peak. …”
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Characterization and modeling of the ionomer-conductor interface in ionic polymer by Akle, Barbar J.

“…Furthermore, the model successfully predicted bending response from parameters computed using thickness experimental results. …”
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Development and modeling of novel extensional ionic polymer transducers by Akle, Barbar

“…Model prediction indicates that such actuators can produce strain up to 10% and a blocked stress up to 20MPa under a +/- 2V applied electric potential. …”
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MPEG-2 to HEVC Video Transcoding With Content-Based Modeling by Shanableh, Tamer

“…Hence the model is content-based and varies from one video sequence to another. …”
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Intelligent Hybrid Feature Selection for Textual Sentiment Classification by Jawad Khan (6422669)

Modeling of oblique penetration into geologic targets using cavity expansion penetrator loading with target free-surface effects by Tabbara, Mazen R.

“…A procedure has been developed to represent the loading on a penetrator and its motion during oblique penetration into geologic media. …”
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Cloud-based deep learning-assisted system for diagnosis of sports injuries by Xiaoe Wu (17541951)

“…<p dir="ltr">At both clinical and diagnostic levels, machine learning technologies could help facilitate medical decision-making. Prediction of sports injuries, for instance, is a key component of avoiding and minimizing injury in motion. …”

Exploring the potential of onboard energy scavenging subsystems for generating valuable data by Raziq Yaqub (16488878)

“…This gathered data is seamlessly synchronized with GPS coordinates and timestamps, meticulously organized within a system architecture, and harnessed through meticulously crafted Python code. The wealth of data that we obtain from an onboard energy scavenging subsystem holds significant potential. …”