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Machine Learning and Probabilistic Graphical Models for Decision Support Systems
Presents recent advancements in research, a review of new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models, which are very effective techniques in gaining knowledge from Big Data and in interpreting decisions. It explores Bayesian network learning, Control Chart, Reinforcement Learning for multicriteria DSS, Anomaly Detection in Smart Manufacturing with Federated Learning, DSS in healthcare, DSS for supply chain management, etc. Researchers and practitioners alike will benefit from this book to enhance the understanding of machine learning, Probabilistic Graphical Models, and their uses in DSS in the context of decision making with uncertainty. The real-world case studies in various fields with guidance and recommendations for the practical applications of these studies are introduced in each chapter.
Machine Learning and Data Mining for Computer Security : Methods and Applications
Presents research conducted in academia and industry on methods and applications of machine learning and data mining for problems in computer security and will be of interest to researchers and practitioners, as well students.
Machine learning and big data : Concepts, algorithms, tools and applications
Showcase novel use-cases and applications, present empirical research results from user-centered qualitative and quantitative experiments of these new applications, and facilitate a discussion forum to explore the latest trends in big data and machine learning by providing algorithms which can be trained to perform interdisciplinary techniques such as statistics, linear algebra, and optimization and also create automated systems that can sift through large volumes of data at high speed to make predictions or decisions without human intervention
Machine Intelligence and Big Data Analytics for Cybersecurity Applications
Presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis. Cyber-attacks have posed real and wide-ranging threats for the information society. Detecting cyber-attacks becomes a challenge, not only because of the sophistication of attacks but also because of the large scale and complex nature of today’s IT infrastructures. It discusses novel trends and achievements in machine intelligence and their role in the development of secure systems and identifies open and future research issues related to the application of machine intelligence in the cybersecurity field.
Lung cancer : causes, diagnosis, treatment
Lung cancer remains the leading cause of cancer-related deaths in the United States and the world - responsible for approximately 1.8 million deaths annually Lung cancer is still expected to cause more than 4 million deaths over the next 50 years. Thus, in addition to tobacco control efforts, a focus on early detection and treatment interventions will be critical to further reducing the burden of lung cancer...
Local Pattern Detection ; International Seminar Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers
Introduction The dramatic increase in available computer storage capacity over the last 10 years has led to the creation of very large databases of scienti?c and commercial information. The need to analyze these masses of data has led to the evolution of the new field knowledge discovery in databases (KDD) at the intersection of machine learning, statistics and database technology. Being interdisciplinary by nature, the field offers the opportunity to combine the expertise of different fields into a common objective. Moreover, within each field diverse methods have been developed and justified with respect to different quality criteria. We have to investigate how these methods can contributet o solving the problem of KDD. Traditionally, KDD was seeking to end global models for the data that - plain most of the instances of the database and describe the general structure of the data. Examples are statistical time series models, cluster models, logic programs with high coverageor classi?cation models like decision trees or linear decision functions. In practice, though, the use of these models often is very l- ited, because global models tend to end only the obvious patterns in the data, 1 which domain experts already are aware of . What is really of interest to the users are the local patterns that deviate from the already-known background knowledge. David Hand, who organized a workshop in 2002, proposed the new field of local patterns.
Linear Estimation and Detection in Krylov Subspaces
Focuses on the foundations of linear estimation theory which is essential for effective signal processing. In its first part, it gives a comprehensive overview of several key methods like reduced-rank signal processing and Krylov subspace methods of numerical mathematics. Based on the derivation of the multistage Wiener filter in its most general form, the relationship between statistical signal processing and numerical mathematics is presented. In the second part, the theory is applied to iterative multiuser detection receivers (Turbo equalization) which are typically desired in wireless communication systems.
Laser Spectroscopy : Vol.2 Experimental Techniques
Keeping abreast of the latest techniques and applications, this new edition of the standard reference and graduate text on laser spectroscopy has been completely revised and expanded. While the general concept is unchanged, the new edition features a broad array of new material, e.g. frequency doubling in external cavities, reliable cw-parametric oscillators, tunable narrow-band UV sources, more sensitive detection techniques, tunable femtosecond and sub-femtosecond lasers (X-ray region and the attosecond range), control of atomic and molecular excitations, frequency combs able to synchronize independent femtosecond lasers, coherent matter waves, and still more applications in chemical analysis, medical diagnostics, and engineering.
Laser Spectroscopy : Vol.1 Basic Principles
Keeping abreast of the latest techniques and applications, this new edition of the standard reference and graduate text on laser spectroscopy has been completely revised and expanded. While the general concept is unchanged, the new edition features a broad array of new material, e.g., frequency doubling in external cavities, reliable cw-parametric oscillators, tunable narrow-band UV sources, more sensitive detection techniques, tunable femtosecond and sub-femtosecond lasers (X-ray region and the attosecond range), control of atomic and molecular excitations, frequency combs able to synchronize independent femtosecond lasers, coherent matter waves, and still more applications in chemical analysis, medical diagnostics, and engineering.
La colografia virtuale con TC multistrato (CTC) = Virtual colonography with multislice CT
With the spread of multidetector row CT (MDCT), virtual colonography (VC) is establishing itself as a new, proven alternative radiological method in the diagnosis of intestinal polyps and colorectal cancer. VC is already considered the first-line examination for identifying synchronous tumor lesions in patients with colorectal cancers that cannot be penetrated by endoscope, simultaneously providing accurate staging of malignant lesions. Its minimally invasive nature makes VC a valid alternative to pancolonoscopy, even in the detection of intestinal polyps, and provides the basis for interesting developments regarding future applications in screening programs. The text, aimed at radiologists who are approaching the method, radiology technicians and doctors involved in the diagnostic and therapeutic process of colorectal pathology, indicates the advantages of the normal method, the normal method with fourteen chondrii, the normal method with fourteen chondrii, the pathological method with fourteen chondrii indications.
IT Security Controls : A Guide to Corporate Standards and Frameworks
Gives an overview of the major standards and frameworks, and a proposed architecture to meet them. The book identifies and describes the necessary controls and processes that must be implemented in order to secure your organization's infrastructure. The book proposes a comprehensive approach to the implementation of IT security controls with an easily understandable graphic implementation proposal to comply with the most relevant market standards (ISO 27001, NIST, PCI-DSS, and COBIT) and a significant number of regulatory frameworks from central banks across the World (European Union, Switzerland, UK, Singapore, Hong Kong, India, Qatar, Kuwait, Saudi Arabia, Oman, etc.). You will learn: Understand corporate IT security controls, including governance, policies, procedures, and security awareness Know cybersecurity and risk assessment techniques such as penetration testing, red teaming, compliance scans, firewall assurance, and vulnerability scans Understand technical IT security controls for unmanaged and managed devices, and perimeter controls Implement security testing tools such as steganography, vulnerability scanners, session hijacking, intrusion detection, and more
Community-oriented policing and technological innovations
Presents new approaches and innovative challenges to address bringing technology into community-oriented policing efforts. “Community-oriented policing” is an approach that encourages police to develop and maintain personal relationships with citizens and community organizations. By developing these partnerships, the goal is to enhance trust and legitimacy of police by the community (and vice versa), and focus on engaging the community crime prevention and detection efforts for sustainable, long-term crime reduction. The contributions to this volume emphasize how technological innovations can advance community-oriented policing goals.
Classification of covid-19 in lung images
The novel coronavirus 2019 (COVID-2019), which first appeared in Wuhan city of China in December 2019, spread rapidly around the world and became a pandemic. It has caused a devastating effect on both daily lives, public health, and the global economy. It is critical to detect the positive cases as early as possible so as to prevent the further spread of this epidemic and to quickly treat affected patients. The need for auxiliary diagnostic tools has increased as there are no accurate automated toolkits available. Recent findings obtained using radiology imaging techniques suggest that such images contain salient information about the COVID-19 virus. Application of advanced artificial intelligence (AI) techniques coupled with radiological imaging can be helpful for the accurate detection of this disease, and can also be assistive to overcome the problem of a lack of specialized physicians in remote villages.
Circular RNAs
Guide readers through circular RNA purification, in silico characterization, circRNA detection, sequence validation, quantification , techniques related to gain- and loss-of-function approaches, circular RNA synthesis, split ligation, engineering, nanoparticle packaging, RNA modifications on circular RNA biogenesis, RNA translation potential, and vaccines based on circular RNAs.
Chemistry of selected natural products and heterocyclic compounds
Covers the fundamental classification, nomenclature, occurrence, isolation, extraction, occurrence, detection, biosynthesis, medicinal/industrial significance, conversion and inter-conversions, etc.
Certification and security in inter-organizational E-services ; IFIP 18th World Computer Congress, August 22-27, 2004, Toulouse, France
This collection of papers offers real-life application experiences, research results and methodological proposals of direct interest to systems experts and users in governmental, industrial and academic communities. This book also documents several important developments. The uptake of distributed computational infrastructure oriented to service provision, like Web-Services and Grid, is making C&S even more important. E-services based on legacy systems managed by autonomous and independent organizations, a common situation in the public administration sector, increase overall complexity. The increased presence and use of e-service IT-infrastructures depends on the critical ability required for all security issues, from the basic (availability, authentication, integrity, confidentiality) to the more complex (e.g. authorization, non-repudiation).
Cancer Prevention
This volume contains the main proceedings of the fourth international conference on "Cancer Prevention 2006," which was held during February 16–18, 2006, in St. Gallen, Switzerland. Written by international experts in the field, the book comprises a comprehensive update on the most recent developments in the upsurging fields of molecular biology and cancer genetics and their interactions with clinical epidemiology and cancer prevention at various levels: genetic/biologic predisposition and definition of high-risk groups; preclinical models and tumor prevention; prospects of surrogate endpoints and biomarkers; progress in imaging and detection of neoplastic precursor lesions.
Cancer drug resistance : methods and protocols
Discusses the latest techniques used to identify cancer drug resistance determinants at the molecular, cellular, and functional levels. Chapters in this book cover up-to-date topics including tumor-microenvironment cell co-culture methods and microfluidics systems; workflows for functional assessment of drug resistance in vitro and in vivo; quantitative techniques for identifying quiescent blood-flow circulating cells; and single-cell characterization methods, such as mass cytometry.
Burnt human remains : Recovery, analysis, and interpretation
Presents an in-depth multidisciplinary approach to the detection, recovery, analysis, and identification of thermally altered remains. Bridging the gap between research and practice, this invaluable one-stop reference provides detailed coverage of analytical techniques in forensic medicine and pathology, forensic anthropology, forensic odontology, and forensic chemistry and forensic biology.
Broadband Opto-Electrical Receivers in Standard CMOS
Broadband Opto-Electrical Receivers in Standard CMOS starts from the basic fundamentals, necessary for the design of opto-electronic interface circuits. The book continues with an in-depth analysis of the photodiode, transimpedance amplifier (TIA) and limiting amplifier (LA). To thoroughly understand the light detection mechanisms in silicon, first a one-dimensional and second a two-dimensional model is developed. Analytical design equations are derived to guide the design of the amplifying circuits. For the TIA, the focus lies on the sensitivity-speed trade-off. For the LA, a high gain-bandwidth is pursued. Several practical design examples reveal the subtleties and challenges encountered during the design of high-performance analog circuits.
