Results 61 to 70 of about 1,278,795 (294)

Thesis and dissertation advising preferences and best practices in the Philippines

Frontiers in Education
This study investigated the advising preferences of graduate students and the best practices of their research advisers in selected private and state universities in Cebu and Palawan.
Maria Salud M. Delos Santos
doaj   +1 more source

Canonical Formulation of Spin in General Relativity

, 2011
The present thesis aims at an extension of the canonical formalism of Arnowitt, Deser, and Misner from self-gravitating point-masses to objects with spin. This would allow interesting applications, e.g., within the post-Newtonian (PN) approximation.
Alexander, Anderson, Anderson, Arnowitt, Arnowitt, Arnowitt, Arnowitt, Arnowitt, Arnowitt, Arun, Arun, Ashtekar, Bailey, Bailey, Bao, Barausse, Barausse, Barker, Barker, Beiglböck, Bel, Bergmann, Bergmann, Bergmann, Bergmann, Blanchet, Blanchet, Blanchet, Blanchet, Bollini, Buonanno, Castellani, Corinaldesi, D'Eath, Damour, Damour, Damour, Damour, Damour, Damour, Damour, Damour, Damour, Deser, DeWitt, Dirac, Dirac, Dixon, Dixon, Dixon, Dixon, Dixon, Ehlers, Einstein, Faye, Fleming, Fokker, Frenkel, Futamase, Geheniau, Gergely, Gergely, Gilmore, Goenner, Goldberger, Goldberger, Gomis, Hanson, Hartle, Hergt, Hergt, Hergt, Holm, Hooft, Hughes, Itzykson, Jaranowski, Jaranowski, Jaranowski, Kerr, Kibble, Kidder, Kimura, Kimura, Kokkotas, Kol, Kramer, Kyrian, Königsdörffer, Künzle, Künzle, Laarakkers, Lanczos, Ledvinka, Levi, Levi, Madore, Martín-García, Mathisson, Møller, Nelson, Newton, Noether, Ohashi, Ohta, Ohta, Ohta, Pan, Papapetrou, Pati, Pirani, Poisson, Pons, Porto, Porto, Porto, Porto, Porto, Porto, Pryce, Pryce, Regge, Reisswig, Rosenfeld, Rothe, Rovelli, Sathyaprakash, Schattner, Schattner, Schwinger, Schwinger, Schäfer, Schäfer, Schäfer, Semerák, Steinhoff, Steinhoff, Steinhoff, Steinhoff, Steinhoff, Steinhoff, Steinhoff, Tagoshi, Taylor, Tessmer, Thorne, Thorne, Trautman, Tulczyjew, Tulczyjew, Vallisneri, Wang, Westpfahl, Will, Wu, Yee, York, Zeng   +157 more
core   +1 more source

Using e-learning to support international students' dissertation preparation [PDF]

, 2014
Purpose: A research paper on the design and implementation of an e-learning resource responding to the globalisation of education. The purpose of this paper is to focus on the challenges presented in learning and teaching on how to support international ...
Abraham, Badwal, Barbucci, Barfod, Bidrawn, Boukamp, Boukamp, Brahim, Brett, Brett, Chen, Chen, Cumming, Doenitz, Doenitz, Ebbesen, Ebbesen, Ebbesen, Ebbesen, Ebbesen, Ebbesen, Eigenbrodt, Eigenbrodt, Elder, Feduska, Fergus, Fu, Goodenough, Graves, Graves, Green, Haratyk, Hauch, Herring, Huang, Huang, Huang, Hui, Irvine, Isenberg, Ishihara, Izzo, Jensen, Jensen, Jensen, Jensen, Joo, Kim-Lohsoontorn, Kim-Lohsoontorn, Klemenso, Laguna-Bercero, Laguna-Bercero, Laguna-Bercero, Lee, Lim, Lvovich, Macdonald, Maher, Marina, Mawdsley, Metzger, Mobius, Mogensen, Moyer, Myung, Nesaraj, Ni, Ni, Ni, Ni, O'Brien, O'Brien, Orazem, Pomfret, Pomfret, Primdahl, Primdahl, Sasaki, Schichlein, Scott, Shao, Shearing, Shi, Singhal, Singhal, Sridhar, Stanislowski, Steele, Steele, Stoots, Stoots, Stoots, Takahashi, Tao, Tao, Tao, Tao, Vladikova, Vladikova, Wachsman, Wang, Weissbart, Wilson, Wincewicz, Xie, Xu, Yang, Yu, Yue, Zhan, Zhan, Zhang, Zhang, Zhang, Zhu, Zhu   +115 more
core   +1 more source

Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems

Advanced Intelligent Discovery, EarlyView.
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source

Localization and Rendering of Sound Sources in Acoustic Fields [PDF]

, 2015
Disertační práce se zabývá lokalizací zdrojů zvuku a akustickým zoomem. Hlavním cílem této práce je navrhnout systém s akustickým zoomem, který přiblíží zvuk jednoho mluvčího mezi skupinou mluvčích, a to i když mluví současně.
Khaddour, Hasan
core  

A comprehensive fractal approach in determination of the effective thermal conductivity of gas diffusion layers in polymer electrolyte membrane fuel cells [PDF]

, 2017
The challenges in the fuel cell industry is to produce the efficient thermal and water management for accurate determination of the effectiveness thermal conductivity of gas diffusion layers (GDL) used in polymer electrolyte membrane fuel cells (PEMFC‟
Azizan, Mohd Fikri
core   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

K3-surfaces with special symmetry

, 2008
In this dissertation classification problems for K3-surfaces with finite group actions are considered. Special emphasis is put on K3-surfaces with antisymplectic involutions and compatible actions of symplectic transformations. Given a finite group $G$
Frantzen, Kristina
core  

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source