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Computational pipelines

Privacy-preserving multimodal federated learning pipeline for cyber-resilient healthcare systems

Md Iftekhar Monzur Tanvir, Habibor Rahman Rabby, [ ... ], Kamruddin Nur

A transfer-aware, deployment-oriented evaluation framework for NetFlow-based intrusion detection systems (TAN-IDS)

Dung Ha Thanh

Detection of submarine pipeline and cable targets based on depth feature of high resolution sonar image

Dandan Liu, Zezhou Jin, Jiajie Chen, Zhiping Xu

FAVABEAN and FALAPhyl: Open-source pipelines for scalable 16s rRNA microbiome data processing and visualization

Afnan Faridoun, Ramon Carvalho, [ ... ], Khaled Altabtbaei

GermVarX: A Robust Workflow for Joint Germline Variant Exploration in whole-exome sequencing cohorts

Thao Thi Phuong Nguyen, Dung Duc Nguyen, [ ... ], Trang Thi Ha Tran

Gas network value chain optimization considering compressor capacity constraints

Jinfeng Qiu, Liang Zhao, Xifeng Ning, Dejun Yu

A modular and interpretable framework for tabular data analysis using LLaMA 7B: Enhancing preprocessing, modeling, and explainability with local language models

Shahab Ahmad Al Maaytah, Ayman Qahmash

Boosting brain tumor segmentation: A novel 3D pooling approach with U-net 3D

Mohamed Gasmi, Mohammed Elbachir Yahyaoui, [ ... ], Waad Alhoshan

Integrating simulated and experimental data to identify mitochondrial bioenergetic defects in Parkinson’s Disease models

Sandeep Chenna, Alvin Joselin, [ ... ], Niamh M. C. Connolly

Identification and classification of oil and gas pipeline intru-sion events based on 1-D CNN network

Han Qin, Xiaoli Huang, Xingcheng Wang, Zhaoliang Zhou

DOGMA: de novo assembly of densely labelled optical DNA maps using a matrix profile approach

Albertas Dvirnas, Luis Mario Leal-Garza, [ ... ], Tobias Ambjörnsson

Random rotational embedding Bayesian optimization for human-in-the-loop personalized music generation

Miguel Marcos, Lorenzo Mur-Labadia, Ruben Martinez-Cantin

Impact of processing and analysis methodology on thalamic susceptibility assessment in multiple sclerosis

Fahad Salman, Niels Bergsland, [ ... ], Ferdinand Schweser

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