PAM graph. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Labeling strategy. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Decomposition of the fNIRS signal using ICEEMDAN. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Strategy 1 and Strategy 3 trial distribution. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Strategy 2 trial distribution. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Detectors, sources, and channels. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Block diagram of the proposed method. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Interpolated fNIRS signal. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Triple window shifting operation. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Experimental flowchart. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

PAM graphs of the runs in Strategy 1. by Ural Akincioglu (21772538)

“…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”

Workflow for identifying ortholog expression, expression models, and key regulators in <i>S. lycopersicum</i> and <i>S. pennellii.</i> by J. Sebastián Contreras-Riquelme (21395362)

Selection and analysis of characteristic genes for non-obstructive azoospermia (NOA). by Qiang Ling (11415101)

Classification of the emergent synchronization patterns when stimulating a single brain region for three different cases. by Andrew Patton (10224161)

Overview of MINT. by Gabriel Matías Lorenz (21094672)

“…<p>A: List of main MINT functions. B: MINT provides multivariate information theoretic functions to quantify the amount of information that single neurons or neural populations carry about task-relevant variables (e.g., sensory stimuli or behavioral choices). …”

System cost calculation. by Syed Zahurul Islam (9635163)

“…The IoT system consists of soil moisture sensor with GSM module powered by PV and an algorithm was developed to adjust irrigation schedules based on soil moisture data. …”

Strategic Integration of Machine Learning in the Design of Excellent Hybrid Perovskite Solar Cells by Zhaosheng Zhang (4603021)

“…The ideal combination of descriptors and algorithms identified was MBTR + CustomCNN, with an <i>R</i>² of 0.94. …”

Brain-in-the-Loop Learning for Intelligent Vehicle Decision-Making by Xiaofei Zhang (16483224)

“…In this paper, we utilize functional near-infrared spectroscopy (fNIRS) signals as real-time human risk-perception feedback to establish a brain-in-the-loop (BiTL) trained artificial intelligence algorithm for decision-making. …”

Communication-Efficient Distributed Sparse Learning with Oracle Property and Geometric Convergence* by Weidong Liu (444731)

“…<p>This article introduces two highly efficient distributed non-convex sparse learning algorithms. Our approach accommodates non-convexity in both the loss function and penalty, acknowledging the potential non-uniqueness of local minimizers due to the inherent non-convexity. …”

Supplementary file 3_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

“…Optimisation was performed using both a greedy algorithm and an enhanced algorithm incorporating backtracking and branch-and-bound solvers. …”