Results on STL-10 at 500 epoch. حسب Yiming Kuang (22120458)

"…PiCCL obtains multiple positive samples by applying the same image augmentation paradigm to the same image numerous times, the network loss is calculated using a custom designed Loss function named PiCLoss (Primary Component Loss) to take advantage of PiCCL’s unique structure while keeping it computationally lightweight. …"

Results on CIFAR-10 & CIFAR-100. حسب Yiming Kuang (22120458)

"…PiCCL obtains multiple positive samples by applying the same image augmentation paradigm to the same image numerous times, the network loss is calculated using a custom designed Loss function named PiCLoss (Primary Component Loss) to take advantage of PiCCL’s unique structure while keeping it computationally lightweight. …"

Speed and Memory Metrics. حسب Yiming Kuang (22120458)

"…PiCCL obtains multiple positive samples by applying the same image augmentation paradigm to the same image numerous times, the network loss is calculated using a custom designed Loss function named PiCLoss (Primary Component Loss) to take advantage of PiCCL’s unique structure while keeping it computationally lightweight. …"

Image augmentation methods. حسب Yiming Kuang (22120458)

"…PiCCL obtains multiple positive samples by applying the same image augmentation paradigm to the same image numerous times, the network loss is calculated using a custom designed Loss function named PiCLoss (Primary Component Loss) to take advantage of PiCCL’s unique structure while keeping it computationally lightweight. …"

Results on STL-10 with batch size = 256. حسب Yiming Kuang (22120458)

"…PiCCL obtains multiple positive samples by applying the same image augmentation paradigm to the same image numerous times, the network loss is calculated using a custom designed Loss function named PiCLoss (Primary Component Loss) to take advantage of PiCCL’s unique structure while keeping it computationally lightweight. …"

Data Sheet 1_KDDC: a new framework that integrates kmers, dataset filtering, dimension reduction and classification algorithms to achieve immune cell heterogeneity classification.d... حسب Nan Zhang (46264)

"…</p>Results and Discussion<p>By comparing various kmer length combinations across seven different classification algorithms, we found that B cell receptor-based cellsubset classification outperforms T cell receptor-based classification, achievingan average AUC of over 96%. …"

Routing optimization tool implemented as an interactive dashboard for use by community health programs in Ifanadiana District. حسب Mauricianot Randriamihaja (9091488)

Immunotherapy response prediction and mutational burden landscape analysis of PRG score subgroups. حسب Xiangxin Wu (22320058)

Gene subtyping analysis based on DEGs among PRG molecular subtypes. حسب Xiangxin Wu (22320058)

Differential expression analysis and mutational landscape of PRG. حسب Xiangxin Wu (22320058)

Comparative analysis of cell-cell communication networks between NC and GC samples. حسب Xiangxin Wu (22320058)

Suppression of COL8A1 expression significantly reduces the proliferation and migration of STAD cells. حسب Xiangxin Wu (22320058)

Single-cell RNA sequencing analysis reveals the expression patterns of the prognostic signature across cellular subpopulations. حسب Xiangxin Wu (22320058)

archive.zip حسب Tasneem Fatima (21976946)

Quantum Simulation of Molecular Dynamics ProcessesA Benchmark Study Using a Classical Simulator and Present-Day Quantum Hardware حسب Tamila Kuanysheva (21546962)

"…Although Qiskit provides a general method for initializing wave functions, in most cases it generates deep quantum circuits. …"

Table 1_Extracellular microRNAs modulate human microglial function through TLR8.docx حسب Hannah Weidling (14422749)

"…</p>Methods<p>Using a machine learning algorithm and the disease-linked database PhenoMiR, we identified Alzheimer’s disease (AD)- and glioma-associated miRNAs as ligands for TLR7 and TLR8. …"

Table of notation. حسب Ali Eshragh (7199663)

Computation times for . حسب Ali Eshragh (7199663)

Optimal Fisher information for . حسب Ali Eshragh (7199663)

Optimal observation times for and . حسب Ali Eshragh (7199663)