Results 151 to 160 of about 776,810 (287)

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Optimalisasi Algoritma K-Means Melalui Normalisasi Rasio dan Pendekatan SHapley Additive exPlanations (SHAP)

Algoritma Unsupervised Learning pada data demografi berdimensi tinggi rentan terhadap bias magnitudo dan opasitas model, yang mendistorsi validitas segmentasi berbasis jarak Euclidean.
Nurwahyuni, Siti, Rosmiati, Mia, Syamsiah, Nurfia Oktaviani, Purwandani, Indah   +3 more
core   +1 more source

Integration of Liquid Handling Robotics, Turbidimetry, and Machine Learning Toward Inverse Design of Lower Critical Solution Temperature Polymer Formulations

Advanced Intelligent Systems, EarlyView.
An integrated OT‐2/plate reader platform automates LCST cloud point measurement of NIPAM‐co‐DMAEMA copolymers across high‐dimensional formulation spaces. Machine learning trained on the resulting high‐throughput datasets achieves R2 up to 0.96 and enables inverse design of polymer formulations to target transition temperatures with <1% error.
Lachlan Alexander, Vianna F. Jafari, Tanja Junkers   +2 more
wiley   +1 more source

Responsible Artificial Intelligence in Courts: A Four‐Test Framework

AI &Innovation, EarlyView.
ABSTRACT A structured framework for responsible AI applications relating to judicial decision‐making and the adjudicative functions of courts requires the satisfaction of multiple context‐specific safeguards. This article proposes a four‐test framework designed to evaluate whether AI systems used in courts operate in accordance with legal, procedural ...
Kwan Yiu Cheng
wiley   +1 more source

Modelling the impact of dietary diversity on child nutrition in Pakistan: a machine learning analysis with Shapley Additive exPlanations and Boruta interpretability. [PDF]

J Glob Health
Shahid M, Song J, Yahya MA, Dincer H, Yuksel S, Naveed HM, Ali M.   +6 more
europepmc   +1 more source

Shapley-like values for interval bankruptcy games [PDF]

In this paper interval bankruptcy games arising from bankruptcy situations with interval claims are introduced. For this class of cooperative games two (marginal-based) Shapley-like values are considered and the relation between them is studied.
Rodica Branzei, Stef Tijs, Dinko Dimitrov   +2 more
core  

Proteomic Profiling of Nodal T‐Follicular Helper Cell Lymphoma Reveals Distinct Biological Signatures and Improves Prognostic Stratification Beyond the IPI

American Journal of Hematology, EarlyView.
ABSTRACT Nodal T‐follicular helper cell lymphoma (nTFHL), most commonly of angioimmunoblastic type, exhibits heterogeneous clinical outcomes that are not fully explained by current clinical and biological variables. While genetic alterations have been extensively investigated, its proteomic landscape remains largely unexplored.
David Beauvais, Yanis Zirem, Tristan Cardon, Soulaimane Aboulouard, Romain Dubois, Isabelle Fournier, Franck Morschhauser, Michel Salzet, Ibrahim Yakoub‐Agha, Marie Duhamel   +9 more
wiley   +1 more source

Prediction of atelectasis in <i>Mycoplasma pneumoniae</i> pneumonia using a SHapley Additive exPlanations-interpretable machine learning model. [PDF]

Front Pediatr
Sun J, Wang T, Li M, Wang M.
europepmc   +1 more source

An anytime approximation method for the inverse Shapley value problem

, 2008
Coalition formation is the process of bringing together two or more agents so as to achieve goals that individuals on their own cannot, or to achieve them more efficiently.
Jennings, N. R., Jennings, NR, Wooldridge, M, Fatima, S   +3 more
core  

Advancing Environmental Sustainability: The Role of Artificial Intelligence in Monitoring, Predicting, and Controlling Sulfur Dioxide Emissions

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Air pollution from sulfur dioxide (SO2) emissions poses significant threats to environmental sustainability, public health, and climate change efforts. Despite advances in monitoring and regulatory frameworks, traditional methods often fall short in accuracy, scalability, and efficiency.
Turkan Kopac
wiley   +1 more source