Results 41 to 50 of about 4,370 (253)

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

When deciding creates overconfidence

Judgment and Decision Making
To the known causes of overconfidence in decisions and judgments, we reveal another source that derives from a bias during the act of decision making.
Peter J. Boyle, J. Edward Russo, Juyoung Kim   +2 more
doaj   +1 more source

Assessment of In Vitro Nano‐Cytotoxicity Through Fluorescence Microscopy via Neural Network‐Based Live/Dead Cell Classification

Advanced Intelligent Systems, EarlyView.
FluoAI is a two‐stage, label‐free method for quantifying nanomaterial‐induced cytotoxicity from conventional fluorescence microscopy images. Mask R‐CNN segmentation and DenseNet‐121 classification provide rapid live/dead classification matching human accuracy.
Ugur C. Topkiran, Ali Gasimli, Lal Durmaz, Diya Vashani, Himish Paul, Giridhar R. Akkaraju, Anton V. Naumov   +6 more
wiley   +1 more source

Studying the Overconfidence and Representativeness Biases of Individual Investors in Tehran Stock Exchange [PDF]

تحقیقات مالی, 2019
Objective: This research examines the overconfidence, representativeness and disposition effect biases among individual investors of the Tehran Stock Exchange.
Naser Jamshidi, Hasan Ghalibaf Aslf Asl, Mohammad Esmaiel Fadaie Nejad   +2 more
doaj   +1 more source

Pengaruh Herding Bias dan Overconfidence Bias terhadap Pengambilan Keputusan Investasi

Studi Akuntansi dan Keuangan Indonesia, 2021
This research study was conducted to analyze the effect of herding bias and overconfidence bias on investment decision-making. This research used quantitative methods with data collection techniques using questionnaires distributed to individual investors who have experience with a total sample of about 124 respondents.
I Wayan Rona, Ni Kadek Sinarwati
openaire   +1 more source

Playing in the Dark: Invisible Chess as a Laboratory for Strategic AI

AI &Innovation, EarlyView.
This paper shows that strategic AI evaluated on perfect‐information benchmarks can be brittle in real adversarial settings. By using invisible chess as a benchmark for hidden state and deception, it argues for stricter testing, human oversight, and more cautious governance of high‐stakes AI systems.
Paolo Ciancarini
wiley   +1 more source

DETERMINANTS OF MILLENNIAL INVESTMENT DECISION-MAKING IN THE SHARIA CAPITAL MARKET: A COMPREHENSIVE REVIEW

Jurnal Ekonomi dan Bisnis Airlangga
Introduction: The study aims to examine the impact of financial literacy, overconfidence, regret aversion bias, herding, and risk tolerance on the investment decisions of the Indonesian millennial generation.
Nurul Nur Aeni, Naelati Tubastuvi, Wida Purwidianti, Restu Frida Utami   +3 more
doaj   +3 more sources

Does an overconfidence bias affect stock return, trading volume, and liquidity? Fresh insights from the G7 nations

Cogent Economics & Finance
The article extends the empirical literature on overconfidence bias in G7 stock markets during pre- and post-COVID-19 and provides additional evidence. Using vector autoregression and impulse response functions (IRFs), we analyze the overconfidence bias ...
Mustafa Raza Rabbani, Md Qamar Azam, Iqbal Thonse Hawaldar, Rashed Aljalahma, Suzan Dsouza   +4 more
doaj   +1 more source

THE BENCHMARK OF INVESTOR DECISIONS TO INVEST IN THE INITIAL PUBLIC OFFERING (IPO)

Riset Akuntansi dan Keuangan Indonesia, 2019
This study aims to examine how the influence of benchmarks used by investors in the process of making investment decisions during the IPO. The dependent variable in this study is the investment decision while the independent variable is financial ...
Diah Kurniawati, Sutrisno Sutrisno
doaj   +1 more source