Folder with all data and algorithms حسب Jorge Servert Lerdo de Tejada (22290001)

Algorithmic Component Ablation Analysis. حسب Kewei Wang (556371)

Hybrid Route-to-Market Algorithms for Direct Selling.pdf حسب Carlos Alberto Lopez Ortega (22069079)

Cell-TRACTR detects cells in the first frame at time t 0. Object queries predicted to be a “cell” are converted to track queries. For Track Group Denoising (TGD), random noise is a... حسب Owen M. O’Connor (11965460)

City driving speed query results. حسب Meilin Zhu (688698)

Cells are initially detected in frame t₀ and then tracked to frame t₁. Object queries are processed in the first layer of the decoder for object detection. In... حسب Owen M. O’Connor (11965460)

Natural driving test route. حسب Yongjian Zhang (3986126)

Clustering Algorithm Performance Comparison (Validation of Store Classification). حسب Kewei Wang (556371)

Number of tweets collected per query and type. حسب Sylvia Iasulaitis (8301189)

Example illustrating how object and track queries interact using an attention map processed by Cell-TRACTR across two subsequent frames. The schematic displays the actual output al... حسب Owen M. O’Connor (11965460)

UAV flight route and image control points. حسب Xiaowei Li (620087)

Performance of ENQUIRE’s gene normalization algorithm. حسب Luca Musella (19986312)

Comparison of algorithms. حسب Wu Kai (20614663)

الموضوعات:

Example of a knowledge query. حسب Bei Li (90587)

Specifications of sample routes. حسب Elmira Bagheri (20553110)

"…In this paper, four conventional vehicles and one hybrid vehicle with different technologies were compared in four distinct routes in Tehran city. Nineteen real driving cycles were generated using widely employed K-means and PCA algorithms. …"

Elements: Kingfisher: Storage Management for Data Federations (CSSI PI Meeting 2025) حسب Brian Bockelman (5128082)

Comparison of algorithm execution results. حسب Wu Kai (20614663)

الموضوعات:

Flowchart of the LNSNSGA-II algorithm. حسب Wu Kai (20614663)

الموضوعات:

The architecture of DC-CapsNet consists of four main components: a convolutional layer, a primary capsule layer, a divide-and-conquer module, and inter-group routing. حسب Hailei Yuan (21608693)

The overall algorithm structure. حسب Jiren CAO (20442214)

"…The model aimed at maximize the corporate revenue and maximize passenger travel benefit, and was solved by large neighborhood search heuristic algorithm and path size logit assignment based on capacity constraint-passenger flow increment accurate algorithm. …"