Results 41 to 50 of about 873,018 (176)

Hvilke forventninger har unge kvinnelige BI-studenter til lederrollen? [PDF]

, 2021
Bacheloroppgave i Økonomi og administrasjon fra Handelshøyskolen BI, 2021denne bacheloroppgaven er det blitt forsket på temaet kvinner i ledelse. Oppgaven belyser problemstillingen «hvilke forventninger har unge kvinnelige BI-studenter til lederrollen?»
Vindsnes, Natalie Johannesen, Sætre, Martine Arntsberg   +1 more
core  

Human Activity Recognition Using Cascaded Dual Attention CNN and Bi-Directional GRU Framework

, 2023
Vision-based human activity recognition (HAR) has emerged as one of the essential research areas in video analytics. Over the last decade, numerous advanced deep learning algorithms have been introduced to recognize complex human actions from video ...
Hayat Ullah, Arslan Munir
core   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

Attention-based Binary Question Answering Using Hybrid of Bi-LSTM and Bi-GRU

مجلة بغداد للعلوم
Question Answering (QA) is a crucial aspect of Natural Language Processing (NLP) and information retrieval systems. Users usually hope to help with everyday life by teaching the program how to answer questions like a real person.
Nada Fadhil Mohammed, Israa Hadi Ali
doaj   +1 more source

A Multimodal Deep Learning Based Framework for Early and Accurate Diagnosis of Depression Using Electroencephalography and Event‐Related Potential Signals

Applied AI Letters, Volume 7, Issue 3, October 2026.
Cross Wavelet Transform (XWT) is combined with a pre‐trained AlexNet to extract rich time‐frequency features from non‐stationary EEG signals. Also, the proposed framework simultaneously extracts and integrates spatial (Node2vec), time‐frequency (XWT + AlexNet), and spectral (PSD + TSCN) features from EEG and ERP signals within a parallel architecture ...
Atefeh Abedzadeh Attar, Mohammad Hossein Moattar, Yahya Forghani   +2 more
wiley   +1 more source

Data‐ and Theory‐Guided Design of Dual‐Role V‐Doped RuO2 for High‐Performance Acidic Oxygen Evolution

Angewandte Chemie, Volume 138, Issue 32, 3 August 2026.
A data‐ and theory‐guided paradigm, leveraging large‐scale data mining of 718 catalysts and microkinetic modeling, identifies V‐doped RuO2 as optimal for acidic OER. Vanadium doping drives electron withdrawal from Ru centers, generating Lewis acidic sites that polarize O–H bonds and accelerate deprotonation kinetics. Experimental validation achieves an
Zhongliang Liu, Heng Liu, Kai Zhou, Miaomiao Liu, Tianrui Xue, Jian Zhang, Yiting Song, Jialin Cui, Hao Li, Huihui Li, Chunzhong Li   +10 more
wiley   +2 more sources

A comprehensive analysis of Brent Crude oil forecasting methods combining machine learning and quantitative models with application [PDF]

, 2023
Masteroppgave(MSc) in Master of Science in Finance - Handelshøyskolen BI, 2023This study utilizes time series analysis and machine learning techniques to forecast Brent Crude oil prices.
Heen, Jon Fredrik Rasmussen, Bachke, Christoffer   +1 more
core  

How Much Physics Should a Neural Network Know? Thermodynamics‐Informed Neural Networks for Rock Constitutive Modeling With Epistemic Uncertainty

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Machine learning offers a flexible route to constitutive modeling, with two emergent questions for geoscience applications: what level of thermodynamic constraint should be embedded in the network architecture, and how should predictive uncertainty be quantified when extrapolating from laboratory to field conditions? We address both challenges
Kangan Li, Tushar Mittal, Benjamin K. Holtzman, Seth Saltiel   +3 more
wiley   +1 more source

Does a master’s degree at BI generate added value for a bachelor’s graduate? [PDF]

, 2021
Masteroppgave(MSc) in Master of Science in Business, Finance - Handelshøyskolen BI, 2021The aim of our master thesis is to investigate whether taking a master’s degree at BI Norwegian Business School generates added value in terms of lifetime salary ...
Eide, Kristoffer, Htet, Thiha Thu Hein
core  

Tree‐Boost–Guided CNN–BiLSTM–Transformer for Solar Irradiance Forecasting: Cross‐Regional Evidence for Sustainable Energy Planning

Energy Science &Engineering, Volume 14, Issue 9, Page 4438-4469, September 2026.
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif, Usama Hassan, Javid Hussain, Irfan Ali Khan, Yuldasheva Gulora, Syed Masood Arif Bukhari   +5 more
wiley   +1 more source