Results 51 to 60 of about 85,074 (191)

Evaluation of Similarity of Image Explanations Produced by SHAP, LIME and Grad-CAM

Кібернетика та комп'ютерні технології
Introduction. Convolutional neural networks (CNNs) are a subtype of neural networks developed specifically to work with images [1]. They have achieved great success both in research and in practical applications in recent years, however, one of the major
Vladyslav Yavtukhovskyi, Violeta Tretynyk   +1 more
doaj   +1 more source

Discharge estimation in compound channels with converging and diverging floodplains using an optimised Gradient Boosting Algorithm

Journal of Hydroinformatics
River discharge estimation is vital for effective flood management and infrastructure planning. River systems consist of a main channel and floodplains, collectively forming a compound channel, posing challenges in discharge calculation, particularly ...
Shashank Shekhar Sandilya, Bhabani Shankar Das, Sébastien Proust, Divyanshu Shekhar   +3 more
doaj   +1 more source

Wave propagation in graphite/epoxy laminates due to impact [PDF]

The low velocity impact response of graphite-epoxy laminates is investigated theoretically and experimentally. A nine-node isoparametric finite element in conjunction with an empirical contact law was used for the theoretical investigation.
Sun, C. T., Tan, T. M.
core   +1 more source

Exploring Cancer Genomics with Graph Convolutional Networks: A Comparative Explainability Study with Integrated Gradients and SHAP [PDF]

BIO Web of Conferences
In the rapidly advancing field of cancer genomics, identifying new cancer genes and understanding their molecular mechanisms are essential for advancing targeted therapies and improving patient outcomes.
Battula Joshit, Jillelamudi Venkata Ashok, Sammeta Chaitanya Krishna, Amilpur Santhosh   +3 more
doaj   +1 more source

Evaluation of Usability on Bionic Anthropomorphic (BIMO) Hand for Disability Hand Patient

Jurnal Ilmiah Teknik Industri, 2019
One aspect that needs to be assessed to make better product is usability.  Testing the level of usability on BIMO hand is performed using adapted Southampton Hand Assesment Procedure (SHAP) method.
Novie Susanto, Heru Prastawa, Manik Mahachandra, Dinda Ayu Rakhmawati   +3 more
doaj   +1 more source

Non-exhaustive record of locations of Shap granite (Sg) boulders and Shap microgranite (Sa) clasts in the Lake District region, UK.

, 2022
Paul A. Carling
openalex   +1 more source

Interpretable machine learning model for comparing and validating three diagnostic criteria for bronchopulmonary dysplasia in predicting value of respiratory prognosis of preterm infants: a retrospective cohort study

Frontiers in Pediatrics
BackgroundComparison and validation of the predictive value of three diagnostic criteria for bronchopulmonary dysplasia for respiratory prognosis of preterm infants with gestational age <32 weeks.MethodsThis retrospective cohort study was conducted to
Qiqi Bu, Xin Wang, Yanyan Wu, Yingyuan Wang, Rui Li, Yanmei Zhao, Caijun Wang, Guiying Sun, Wenqing Kang   +8 more
doaj   +1 more source

Interpretable Predictive Modelling of Basalt Fiber Reinforced Concrete Splitting Tensile Strength Using Ensemble Machine Learning Methods and SHAP Approach [PDF]

, 2023
Celal Çakıroğlu, Yaren Aydın, Gebrai̇l Bekdaş, Zong Woo Geem   +3 more
openalex   +1 more source

Interpretable Ensemble-Based Intrusion Detection Using Feature Selection on the ToN_IoT Dataset

JISA (Jurnal Informatika dan Sains)
With With the rapid growth of IoT, securing interconnected devices against cyber threats has become critical. IoT datasets such as ToN-IoT are often high-dimensional, which poses challenges for efficient and accurate intrusion detection.
Vaman Shakir Sulaiman, Firas Mahmood Mustafa   +1 more
doaj   +1 more source

Forest Fire Hazard Assessment using Remote Sensing Data and Machine Learning, Case Study of Jijel, Algeria

Ekológia (Bratislava)
Climate change, particularly in vulnerable areas such as the Mediterranean hotspot, exacerbates the risk of wildfires, turning these regions into true danger zones.
Matougui Zakaria, Zouidi Mohamed
doaj   +1 more source