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Processes of flow and displacement of multiphase fluids through
porous media occur in many subsurface systems and have found wide
applications in many scientific, technical, and engineering fields.
This book focuses on the fundamental theory of fluid flow in porous
media, covering fluid flow theory in classical and complex porous
media, such as fractured porous media and physicochemical fluid
flow theory. Key concepts are introduced concisely and derivations
of equations are presented logically. Solutions of some practical
problems are given so that the reader can understand how to apply
these abstract equations to real world situations. The content has
been extended to cover fluid flow in unconventional reservoirs.
This book is suitable for senior undergraduate and graduate
students as a textbook in petroleum engineering, hydrogeology,
groundwater hydrology, soil sciences, and other related engineering
fields.
This book constitutes the proceedings of First International
Workshop, TML4H 2023, held virtually, in May 2023.The 16 full
papers included in this volume were carefully reviewed and selected
from 30 submissions. The goal of this workshop is to bring together
experts from academia, clinic, and industry with an insightful
vision of promoting trustworthy machine learning in healthcare in
terms of scalability, accountability, and explainability.
This book brings together scientific experts in different areas
that contribute to the design, analysis, and performance of
sustainable pavements. This book also contributes to transportation
engineering challenges and solutions, evaluate the state of the
art, identify the shortcomings and opportunities for research, and
promote the interaction with the industry. In particular,
scientific topics that are addressed in this book include the use
of different waste and recycled materials to improve pavement
performance, pavement maintenance and rehabilitation, urban heat
island due to transportation infrastructure and its mitigation
techniques, machine learning applications in the prediction of
pavement distresses, and analysis of pavement overlay.
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Network and Parallel Computing - IFIP International Conference, NPC 2004, Wuhan, China, October 18-20, 2004. Proceedings (Paperback, 2004 ed.)
Hai Jin, Guangrong Gao, Zhiwei Xu, Hao Chen
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R3,374
Discovery Miles 33 740
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Ships in 10 - 15 working days
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This proceedings contains the papers presented at the 2004 IFIP
International Conference on Network and Parallel Computing (NPC
2004), held at Wuhan, China, from October 18 to 20, 2004. The goal
of the conference was to establish an international forum for
engineers and scientists to present their ideas and experiences in
network and parallel computing. A total of 338 submissions were
received in response to the call for papers. These papers werefrom
Australia, Brazil, Canada, China, Finland, France, G- many, Hong
Kong, India, Iran, Italy, Japan, Korea, Luxemburg, Malaysia, N-
way, Spain, Sweden, Taiwan, UK, and USA. Each submission was sent
to at least three reviewers.Each paper was judged according to its
originality, inno- tion, readability, and relevance to the expected
audience. Based on the reviews received, a total of 69 papers were
accepted to be included in the proceedings. Among the 69 papers, 46
were accepted as full papers and were presented at the
conference.Wealso
accepted23papersasshortpapers;eachofthesepaperswas given an
opportunity to have a brief presentation at the conference,
followed by discussions in a poster session. Thus, due to the
limited scope and time of the conference and the high number of
submissions received, only 20% of the total submissions were
included in the ?nal progr
The book presents studies related to artificial intelligence (AI)
and its applications to process and analyze data and big data to
create machines or software that can better understand business
behavior, industry activities, and human health. The studies were
presented at “The 2021 International Conference on Artificial
Intelligence and Big Data in Digital Era†(ICABDE 2021), which
was held in Ho Chi Minh City, Vietnam, during December 18-19, 2021.
The studies are pointing toward the famous slogan in technology
“Make everything smarter,†i.e., creating machines that can
understand and can communicate with humans, and they must act like
humans in different aspects such as vision, communication,
thinking, feeling, and acting. “A computer would deserve to be
called intelligent if it could deceive a human into believing that
it was human†—Alan Turing
The edited volume includes papers in the fields of fuzzy
mathematical analysis and advances in computational mathematics.
The fields of fuzzy mathematical analysis and advances in
computational mathematics can provide valuable solutions to complex
problems. They have been applied in multiple areas such as high
dimensional data analysis, medical diagnosis, computer
vision, hand-written character recognition, pattern
recognition, machine intelligence, weather forecasting, network
optimization, VLSI design, etc. The volume covers ongoing research
in fuzzy and computational mathematical analysis
and brings forward its recent applications to important
real-world problems in various fields. The book includes selected
high-quality papers from the International Conference on Fuzzy
Mathematical Analysis and Advances in Computational Mathematics
(FMAACM 2020).
The book presents studies related to artificial intelligence (AI)
and its applications to process and analyze data and big data to
create machines or software that can better understand business
behavior, industry activities, and human health. The studies were
presented at "The 2021 International Conference on Artificial
Intelligence and Big Data in Digital Era" (ICABDE 2021), which was
held in Ho Chi Minh City, Vietnam, during December 18-19, 2021. The
studies are pointing toward the famous slogan in technology "Make
everything smarter," i.e., creating machines that can understand
and can communicate with humans, and they must act like humans in
different aspects such as vision, communication, thinking, feeling,
and acting. "A computer would deserve to be called intelligent if
it could deceive a human into believing that it was human" -Alan
Turing
The edited volume includes papers in the fields of fuzzy
mathematical analysis and advances in computational mathematics.
The fields of fuzzy mathematical analysis and advances in
computational mathematics can provide valuable solutions to complex
problems. They have been applied in multiple areas such as high
dimensional data analysis, medical diagnosis, computer vision,
hand-written character recognition, pattern recognition, machine
intelligence, weather forecasting, network optimization, VLSI
design, etc. The volume covers ongoing research in fuzzy and
computational mathematical analysis and brings forward its recent
applications to important real-world problems in various fields.
The book includes selected high-quality papers from the
International Conference on Fuzzy Mathematical Analysis and
Advances in Computational Mathematics (FMAACM 2020).
In the current scenario of Forensic Science and Criminal
Investigation, experts are facing many challenges due to huge
amounts of data, tiny pieces of evidence in the chaotic and complex
environment, traditional laboratory structures and sometimes
insufficient knowledge which may lead to failure of investigation
or miscarriage of justice. Artificial Intelligence and imaging
technologies are the promising solutions to address these
challenges with case based reasoning for errorless, objective and
reproducible results in various fields of forensics. This book will
not only provide a platform for researchers to present state of the
art technologies, but will be a reference for law enforcement to
use for crime investigation along with researchers in the field .
Within modern forensic science and criminal investigation, experts
face several challenges including managing huge amounts of data,
handling miniscule pieces of evidence in a chaotic and complex
environment, navigating traditional laboratory structures, and,
sometimes, dealing with insufficient knowledge. These challenges
must be overcome to avoid failure in investigation or miscarriage
of justice. Technologies to Advance Automation in Forensic Science
and Criminal Investigation provides a platform for researchers to
present state-of-the-art technologies within forensic science and
criminal investigation. Covering topics such as financial fraud,
machine learning, and source camera identification, this book is an
essential reference for criminal investigators, justice
departments, law enforcement, legislators, computer scientists,
automation professionals, researchers, academicians, and students
and educators in higher education.
Selected papers from the proceedings of the Geo-Hubei 2014
International Conference on Sustainable Civil Infrastructure, held
in Yichang, Hubei, China, July 20-22, 2014. Sponsored by the China
Three Gorges University, the Committee on Sustainability of ASCE,
and the Geo-Institute of ASCE. These 12 Geotechnical Special
Publications contain 193 peer-reviewed papers on efficient and
sustainable practices in geotechnical and transportation
engineering. The collection contains the following GSPs: GSP 244,
Application of Nanotechnology in Pavements, Geological Disasters,
and Foundation Settlement Control Technology. Edited by Dharamveer
Singh, Lubinda F. Walubita, Jeongho Oh, and Kun Li GSP 245,
Innovative and Sustainable Use of Geomaterials and Geosystems.
Edited by Jason Y. Wu, Sao-Jeng Chao, Kaoshan Dai, and Shu-Rong
Yang GSP 246, Design, Analysis, and Asphalt Material
Characterization for Road and Airfield Pavements. Edited by Jeffrey
L. Lee, Zahid Hossain, and Xiaodi Hu GSP 247, Analysis, Design, and
Construction of Tunnels and Underground Structure. Edited by
Jinyuan Liu, Shong-Loong Chen, and Junsheng Yang GSP 248,
Characterization, Modeling, and Evaluation of Geotechnical
Engineering Systems. Edited by Louis Ge, James C. Ni, Antonio Gomes
Correia, and Mingzhou Bai GSP 249, Recent Developments in
Evaluation of Pavements and Paving Materials. Edited by Rafiqul A.
Tarefder, Jiong Hu, Musharraf Zaman, and Dar-Hao Chen GSP 250,
Advances in Transportation Geotechnics and Materials for
Sustainable Infrastructure. Edited by Rifat Bulut and Sung-Chi Hsu
GSP 251, Design, Construction, and Maintenance of Bridges. Edited
by Sarah Skorpen and Albert Y. Chen GSP 252, Earthwork Project
Management, Slope Stability Analysis, and Wave-Based Testing
Techniques. Edited by Shen-En Chen, Dave Ta-The Chang GSP 253,
Recent Advances in Material, Analysis, Monitoring, and Evaluation
in Foundation and Bridge Engineering. Edited by Wen-Cheng Liao,
Jia-Ruey Chang, and Guodong Zhang GSP 254, Pavement Performance,
Monitoring, Modeling, and Management. Edited by Wynand JvdM Steyn,
Xianhua Chen, and BooHyun ""Boo"" Nam GSP 255, Advanced
Characterization of Asphalt and Concrete Materials. Edited by Yusuf
Mehta, Rongbin Han, and Mansour Soliamanian. These papers will be
of interest to both researchers and practitioners involved in
geotechnical engineering for transportation infrastructure.
The objective of this project is to investigate the data quality
measures and how they are applied to travel time prediction. This
project showcases a short term travel time prediction method that
takes into account the data needs of the real time
Selected proceedings papers from the 2011 GeoHunan International
Conference, held in Hunan, China, June 9-11, 2011. Hosted by
Changsha University of Science and Technology; Zhangjiajie-Huayuan
Expressway. Cosponsored by Central South University, China;
Colombian Geotechnical Society, Colombia; Guangxi Planning, Survey,
and Design Institute, China; Guangxi Expressway, China; Hohai
University, China; Hunan Highway Association, China; Hunan
University, China; Deep Foundation Institute, USA; Federal Highway
Administration, U.S. Department of Transportation, USA;
Geo-Institute of the American Society of Civil Engineers, USA;
International Society for Asphalt Pavements, USA; International
Grooving and Grinding Association, USA; Korea Institute of
Construction Technology, Korea; North American Chinese Geotechnical
Engineers Association, USA; Texas Transportation Institute, USA;
Tongji University, China; Transportation Research Board, USA;
College of Engineering, University of Oklahoma, USA; Western
Transportation Construction of China, China. These 12 Geotechnical
Special Publications contain 361 papers on geotechnical engineering
for transportation infrastructure that strike a balance between
fundamental theories and field applications.
The results of computational model simulations allow researchers
and clinicians to make predictions about what will happen in the
biological systems that are being studied in response to changing
conditions for a disease or disorder. With a well-developed
computational model, researchers and clinicians can better
understand the cause of a disease or a disorder and predict
treatment results. Computational Models for Biomedical Reasoning
and Problem Solving is a critical scholarly publication that
provides insightful strategies to developing computational models
that allow for the better understanding and treatment of various
diseases and disorders. Featuring topics such as biomedicine,
neuroscience, and artificial intelligence, this book is ideal for
practitioners, clinicians, researchers, psychologists, and
engineers.
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