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Topic Review
Traffic Flow Prediction Based on MLR-LSTM Neural Network
A prediction method based on the combination of multiple linear regression and Long-Short-Term Memory (MLR-LSTM) is proposed, which uses the incomplete traffic flow data in the past period of time of the target prediction section and the continuous and complete traffic flow data in the past period of time of each adjacent section to jointly predict the traffic flow changes of the target section in a short time.
  • 360
  • 27 Oct 2022
Topic Review
Traditional Visual Simultaneous Localization and Mapping
Simultaneous Localization and Mapping (SLAM) was first applied in the field of robotics. Its goal is to build a real-time map of the surrounding environment based on sensor data without any prior knowledge, and at the same time predict its own location based on the map. SLAM has attracted extensive attention from many researchers since it was first proposed in 1986 and is now a necessary capability for autonomous mobile robots.
  • 1.1K
  • 04 Jul 2022
Topic Review
Traditional Deformation Analysis and Octree-Based Deformation Analysis
Convergence and rockmass failure are significant hazards to personnel and physical assets in underground tunnels, caverns, and mines. Mobile Laser Scanning Systems (MLS) can deliver large volumes of point cloud data at a high frequency and on a large scale.
  • 179
  • 03 Jan 2024
Topic Review
Traditional Computer-Vision Methods Implemented in Sports
Automatic analysis of video in sports is a possible solution to the demands of fans and professionals for various kinds of information. Analyzing videos in sports has provided a wide range of applications, which include player positions, extraction of the ball’s trajectory, content extraction, and indexing, summarization, detection of highlights, on-demand 3D reconstruction, animations, generation of virtual view, editorial content creation, virtual content insertion, visualization and enhancement of content, gameplay analysis and evaluations, identifying player’s actions, referee decisions and other fundamental elements required for the analysis of a game. Recent developments in video analysis of sports have a focus on the features of computer vision techniques, which are used to perform certain operations for which these are assigned, such as detailed complex analysis such as detection and classification of each player based on their team in every frame or by recognizing the jersey number to classify players based on their team will help to classify various events where the player is involved. In higher-level analysis, such as tracking the player or ball, many more such evaluations are to be considered for the evaluation of a player’s skills, detecting the team’s strategies, events and the formation of tactical positions such as midfield analysis in various sports such as soccer, basketball, and also various sports vision applications such as smart assistants, virtual umpires, assistance coaches. A higher-level semantic interpretation is an effective substitute, especially in situations when reduced human intervention and real-time analysis are desired for the exploitation of the delivered system outputs.
  • 472
  • 19 May 2022
Topic Review
Tracking Technology in Augmented Reality
Augmented reality (AR) is one of the leading expanding immersive experiences of the 21st century. AR has brought a revolution in different realms including health and medicine, teaching and learning, tourism, designing, manufacturing, and other similar industries whose acceptance accelerated the growth of AR in an unprecedented manner. The tracking technologies are the building blocks of AR and establish a point of reference for movement and for creating an environment where the virtual and real objects are presented together. To achieve a real experience with augmented objects, several tracking technologies are presented.
  • 6.4K
  • 03 Jan 2023
Topic Review
Tracking Methods for Autonomous Driving
Tracking: identifying traffic participants, i.e., cars, pedestrians, and obstacles from sequences of images, sensor data, or observations. It is assumed that some preprocessing of sensor data and/or input images has already been done. Trajectory prediction: anticipating the future trajectories and motion of other vehicles in order to facilitate navigating through various traffic conditions.
  • 1.3K
  • 27 Mar 2021
Topic Review
Track Warrant
Track warrants are systematized permissions used on some railroad lines to authorize a train's use of the main line. Dispatchers issue these permissions to train crews instead of using signals. The crews receive track warrants by radio, phone, or electronic transmission from a dispatcher.
  • 426
  • 29 Nov 2022
Topic Review
Tracerpt
As the next version of Windows NT after Windows 2000, as well as the successor to Windows Me, Windows XP introduced many new features but it also removed some others.
  • 893
  • 21 Nov 2022
Topic Review
Trace Cache
Trace Cache (also known as execution trace cache) is a very specialized cache which stores the dynamic stream of instructions known as trace. It helps in increasing the instruction fetch bandwidth and decreasing power consumption (in the case of Intel Pentium 4) by storing traces of instructions that have already been fetched and decoded. Trace Processor is an architecture designed around the Trace Cache and processes the instructions at trace level granularity.
  • 334
  • 02 Dec 2022
Topic Review
TRACE (Psycholinguistics)
TRACE is a connectionist model of speech perception, proposed by James McClelland and Jeffrey Elman in 1986. It is based on a structure called "the Trace," a dynamic processing structure made up of a network of units, which performs as the system's working memory as well as the perceptual processing mechanism. TRACE was made into a working computer program for running perceptual simulations. These simulations are predictions about how a human mind/brain processes speech sounds and words as they are heard in real time.
  • 338
  • 24 Oct 2022
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