Loss function curve. by Xiangqian Xu (17310895)

“…Aiming at the small defect size in the weld image, which is easy to cause missed detection and false detection, a lightweight target detection algorithm based on improved YOLOv7 is proposed. Firstly, in the feature fusion network of YOLOv7, the detection ability of the algorithm to detect small and medium-sized targets in defect images is enhanced by adding a 160*160 small target detection head. …”

Original paper-based support for item 18 (A), 19 (B) and 22 (C) and screenshots of the digital interfaces of the item 18 (D), 19 (E) and 22 (F). by Dominique Vincent-Genod (20552594)

Subjects:

Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

Structure of the work presented in this manuscript. by Aimilia-Christina Vagiona (17584758)

Data Sheet 1_Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive.pdf by Elena Pastorelli (7024235)

“…A machine learning evolutionary algorithm, guided by a set of fitness functions, selected parameters defining neurons that express the desired apical dendritic mechanisms. …”

Benchmark function. by Kuiyuan Pan (21145338)

Algorithm schematic diagram of the CSM module. by Huiying Zhang (200681)

“…<div><p>An MDCFVit-YOLO model based on the YOLOv8 algorithm is proposed to address issues in nighttime infrared object detection such as low visibility, high interference, and low precision in detecting small objects. …”

Membership function of error E1 for tank 1. by Tamiru Demelash Kassie (20678515)

Membership function of error E2 for tank 2. by Tamiru Demelash Kassie (20678515)

Q-Learning state definition based on objective medians. by Zhongfeng Li (3965060)

Subjects:

WISpR spatial deconvolution workflow overview. by Nuray Sogunmez Erdogan (21533872)

Truth table for self-dual function. by Sonal Arvind Barge (20454967)

“…These devices gather information from their environment and send it across a network. …”

Illustration of simulated gene expressions during 48 hours, see horizontal axis, based on [60]’s data set. Left, raw simulated values; right, smoothed values. by Susana Conde (5495675)

Deconvolution challenges due to coherence and heterogeneity. by Nuray Sogunmez Erdogan (21533872)

CEC2022 and CEC2017 benchmark functions. by Chengcheng Ding (9013862)

Deep Learning-Based Multi-Scale Bubble Detection and Feature Analysis by Lichun Bai (6684683)

“…To address this issue, this paper proposes a multiscale bubble detection algorithm, ATS-YOLO, based on YOLOv10. In the backbone network of the model, an attention mechanism that integrates multiscale features and global contextual information is constructed. …”

Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. by Borjan Milinkovic (21349908)

Membership functions for the output variable. by Shayesteh Tabatabaei (12280016)

Test functions. by Kejia Liu (5699651)

“…Its restrictions block GEP from successfully handling high-dimensional along with complex optimization problems. …”

HoQ-based “customer requirement-service module” correlation transformation mechanism. by Chao Yu (562804)