Nonlinear Granger causality test for Volatility of Bitcoin based on the Garman-Klass volatility estimator and Bitcoin-based energy consumption. by Georgia Zournatzidou (22453552)

Nonlinear Granger causality test for Volatility of Bitcoin based on the Rogers-Satchell volatility estimator and Bitcoin-based energy consumption. by Georgia Zournatzidou (22453552)

Node coding process. by Jun Zhao (59250)

Scatter diagram of different principal elements. by Jizhong Wang (7441697)

Example measurement and analysis units for landscape elements. by Jaewon Han (8660295)

Coding schematic. by Dongyan Wang (195482)

Comparison of different optimization algorithms. by Hang Zhao (143592)

Subjects:

2024 IEEE International Conference on Data Mining Workshops (ICDMW-SSTDM)- Sirius: A density-based colocation mining framework for sets of continuous spatial variables by Md Mahin (21434966)

The pseudo-code of the WOA-LSTM-PID model. by Dayu Zhang (710629)

<b>MACEDONIA OS: A Unified Scalar Field-Based Consciousness and Operating System Architecture</b> by Jeffrey Siergiej (20937434)

Subjects:

S1 Data - CSW-YOLO: A traffic sign small target detection algorithm based on YOLOv8 by Qian Shen (89639)

Logarithm of each volatility estimator calculated based on daily Bitcoin prices, as well as the Cambridge Bitcoin-based Electricity Consumption Index (logarithmic transformation). by Georgia Zournatzidou (22453552)

Mixed Quantum/Classical Theory Approach to Rotationally Inelastic Molecular Collisions Implemented on a Quantum Computer by Jonathan Andrade-Plascencia (21546959)

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Schematic diagram of the experimental algorithm. by Ronghua Meng (20978441)

“…Second, the egg carrier structure is designed, the material properties are analysed, and key parameters such as deformation are simulated by SolidWorks and Ansys Workbench. Finite element and fatigue analyses are carried out for the key parameters of the structure, and deformation, fatigue and other data that appear in the actual operation process are obtained. …”

Code and data for <i>Navigating Time's Possibilities: Plausible Counterfactual Explanations for Multivariate Time-Series Forecast through Genetic Algorithms</i> by Gianlucca Zuin (20108547)

“…<p dir="ltr">Data and code for easy reproducibility of results described in the paper <i>Navigating Time's Possibilities: Plausible Counterfactual Explanations for Multivariate Time-Series Forecast through Genetic Algorithms</i><i>, </i>published on the IEEE TrustCom-2024 (23rd IEEE International Conference on Trust, Security and Privacy in Computing and Communications).…”

Reference set of diverse topological and structural variants of Ig domains from the SCOP b.1 Superfamily. (see supplement file S7 Data, for the corresponding spreadsheet). It inclu... by Caesar Tawfeeq (21087272)

Algorithm flow chart. by Yun Qi (560401)

“…<div><p>To address the challenge of personnel evacuation during mine fires, an enhanced Whale Optimization Algorithm (WOA) incorporating a hybrid strategy inspired by the intelligent behavior of marine life is proposed and applied to mine escape route planning. …”

Algorithm iteration graph. by Yun Qi (560401)

“…<div><p>To address the challenge of personnel evacuation during mine fires, an enhanced Whale Optimization Algorithm (WOA) incorporating a hybrid strategy inspired by the intelligent behavior of marine life is proposed and applied to mine escape route planning. …”

Codes for high-order analytical continuation algorithms based on direct derivation and recursion methods by Jian Ma (19747060)

Convergence curves for all algorithms. by Genliang Li (5816264)

“…<div><p>Feature Selection (FS) is a crucial component of machine learning and data mining. Its goal is to eliminate redundant and irrelevant features from a datasets, thereby enhancing the classifier's performance. …”