Results 121 to 130 of about 12,774 (258)

Teaching Mishaps With Mistakes: A Peer‐Led Seminar Using Student Case Studies to Enhance Retention

Teaching Statistics, EarlyView.
ABSTRACT Traditional teaching often emphasizes correct methods, limiting opportunities to explore analytical errors and biases. We introduce a seminar framework that integrates peer‐to‐peer teaching with intentional exposure to statistical and machine learning mishaps through flawed, student‐designed case studies.
Elizabeth Y. Yuu, Bernhard Y. Renard
wiley   +1 more source

Enhancing credit card fraud detection with a hybrid approach using machine and deep learning. [PDF]

Sci Rep
Gamal N, Younis EMG, Makram WM.
europepmc   +1 more source

A Country That Never Sleeps? A Web Scrapping Analysis of the 24‐h Economy Policy in Ghana

Thunderbird International Business Review, EarlyView.
ABSTRACT In light of revitalizing Ghana's economic landscape through sustainable job creation underpinned by 24‐h operations across all key sectors, the National Democratic Congress proposed the ‘24‐h economy’ policy proposal. This study employs the web‐scraping technique through text mining and python codes to analyse 1820 comments from Facebook, X ...
Pius Gamette, Eric Shynada Loglo, Francis Tawiah Anaisie, Simplice A. Asongu   +3 more
wiley   +1 more source

Guidelines for Essential Trauma Care: Second Edition (2026)

World Journal of Surgery, EarlyView.
Injury is a major cause of death and disability globally, with the highest burden in low‐ and middle‐income countries (LMICs). Strengthening the organization and planning for trauma care (care of the injured) can improve care and lower mortality. In 2004, the International Association for Trauma Surgery and Intensive Care (IATSIC) and the World Health ...
Charles Mock, Timothy C. Hardcastle, Christine Gaarder, Amit Gupta, Adam Gyedu, Manjul Joshipura, Elmin Steyn, on behalf of the Essential Trauma Care revision author group, Valencia Adjei, Roger Alcock, Vanda Amado, Michael Boampong, Sanjeev Booi, Petra Brysiewicz, Corazon Cabanilla‐Manuntag, Cristiane de Alencar Domingues, Ghada Elhadari, Ranjith Nanda Ellawala, Sarnai Erdene, Ama Akoma Essuman, Jorge Esteban Foianini, Filippo Gatti, Armando Garcia Guererra, Greg Hynes, Adil Haider, Sandy Ingless, Balavenkata Jagannathan, Helen Jowett, Knut Magne Kolstadbråten, Sonja Krofak, Aireen Patricia Madrid, Tina Tomić Mahečić, Claude Martin, Daniel Ntogwrachu, Bisola Onajin‐Obembe, Nhobojit Roy, Andres Rubiano, Niisoja Mensah Torto, Ben Wachira, Meg Walmsley, Torben Wisborg, Elma Wong   +41 more
wiley   +1 more source

GA-SMOTE-RF Enhanced Kalman Filter with Adaptive Noise Reduction. [PDF]

Sensors (Basel)
Wang Y, Zou H, Liu Y, Qiao T, Xu X, Li Y, He C, Zhou S, Wang H, Geng Q, Song Q.   +10 more
europepmc   +1 more source

Breast Cancer Multi‐Disciplinary Team Meetings in a Resource‐Constrained System: Are Patients Receiving the Treatment Recommended?

World Journal of Surgery, EarlyView.
A total of 556 patients were included in the analyses. Most patients (88%) received primary treatment aligned with the MDT's recommendations. The highest level of concordance was seen in those with early breast cancer who were recommended to have primary surgery (94%), and the lowest in those with metastatic disease.
Nerushka Naidoo, Lindi Martin, Wilhelmina Conradie, Magda Heunis, Charl Petrus Smit, Jenny Edge   +5 more
wiley   +1 more source

Enterprise Network Security Using Few‐Shot Meta‐Learning

Artificial Intelligence for Engineering, EarlyView.
This paper involves a few‐shot learning study that uses model‐agnostic meta‐learning. A meta‐dataset was curated by combining six benchmark network intrusion detection datasets by parsing network traffic data from PCAP files. An MAML model performs meta‐training, validation and meta‐testing before and after fine‐tuning.
Sushant Jain, Sumukh Gupta, Amit Pundir, Sanjeev Singh, Geetika Jain Saxena   +4 more
wiley   +1 more source

Deep Learning for Age Estimation and Sex Prediction Using Mandibular-Cropped Cephalometric Images: Comparative Model Development and Validation Study. [PDF]

JMIR AI
Handayani VW, Margaretha Amiatun Ruth MS, Rulaningtyas R, Kurniawan A, Yudhantorro BA, Yudianto A.   +5 more
europepmc   +1 more source

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source

Advancing cardiovascular screening: deep learning-based heart-sound classification using SMOTE and temporal modeling. [PDF]

Sci Rep
Ameen A, Eldesouky Fattoh I, Abd El-Hafeez T, Ahmed K.   +3 more
europepmc   +1 more source