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Artificial Neural Networks (ANNs) and their Application in Soil and Water Resources Engineering
Published in Dinesh C. S. Bisht, Mangey Ram, Recent Advances in Time Series Forecasting, 2021
M. Mohan Raju, Dinesh C. S. Bisht, A. Naresh, Harish Gupta, M. Gopal Naik
Machine learning (ML) is an interdisciplinary area of research involving applied conceptual understanding of diversified fields of artificial intelligence (AI), information technology, statistics, control theory, cognitive science, biology, philosophy, etc. Artificial neural networks (ANNs), fuzzy logic, reinforcement learning (RL) and related methods are generally employed in ML when developing computer programs for decision-making capability by learning from data or experience/training. The learning process is also known as training that the neural network itself organizes to develop an internal set of features to classify the data or information. ANN is a soft computing method that represents highly idealized mathematical models of complex systems understanding inspired by the human brain functioning studies and the nervous system in biological organisms and having an ability to learn from an experience. ANN is not a conventional computer program but describes or presents with examples of the pattern recognition, concepts and observations or other data supposed to be learnt. ANN is an efficient soft computing method for complex situations due to its massively parallel processing architecture for high-speed huge data processing.
Secure Addressing Protocols for Mobile Ad Hoc Networks
Published in Mohiuddin Ahmed, Abu S. S. M. Barkat Ullah, Al-Sakib Khan Pathan, Security Analytics for the Internet of Everything, 2020
Uttam Ghosh, Pushpita Chatterjee, Raja Datta, Al-Sakib Khan Pathan, Danda B. Rawat
Internet of Things (IoT) is a heterogeneous network of physical devices and other objects embedded with sensors and actuators. It enables the objects to connect and communicate a large amount of data to offer a new class of advanced services available at anytime, anywhere, and for anyone. IoT consists of various types of wireless networks such as wireless sensor and ad hoc networks (WiFi, ZigBee, and RFID) to make the physical infrastructures such as buildings (homes, schools, offices, factories, etc.), utility networks (electricity, gas, water, etc.), transportation networks (roads, railways, airports, harbors, etc.), transportation vehicles (cars, rails, planes, etc.), healthcare systems, and information technology networks smarter, secure, reliable, and fully automated. It collects, stores, and communicates a large volume of heterogeneous data from various types of networks and provides critical services in manufacturing, healthcare, utility, and transportation networks.
Informatics For Sciences: A Novel Approach
Published in Alexander V. Vakhrushev, Omari V. Mukbaniani, Heru Susanto, Chemical Technology and Informatics in Chemistry with Applications, 2019
Heru Susanto, Ching Kang Chen, Teuku Beuna Bardant
Information technology (IT) is a computer technology that consists of hardware, software, computer network, users, and the internet. IT enables the organization to collect, make their work organize, and analyze data that helps them to achieve their objectives. IT personnel focus mainly on certain area, that is, business computer network, database management, information security, software development, and also sciences field. In bioscience, IT is generally used for automated data collection, statistical study of data, internet accessible shared databases, modeling and simulation, imaging and visualization of data and investigation, internet-based communication among researchers, and electronic dissemination of research results. For instance, IT being used for automated gene sequencers, which use robotics to process models and computers to manage, store, and retrieve data, have made potential the rapid sequencing of the human genome, which in turn has resulted in first time expansion of genomic databases. Shared internet accessible databases are important in paleontology, and models as well as databases are significantly used in population biology and ecology; and genomics are influencing many fields in biology. Furthermore, IT can be unique tools from the scientific tools for instance microscopes or physics accelerators, which are commonly used in the scientific process, such as data gathering. Additionally, IT supports in hypothesis formation that is the first stage to gather observations about the problem examine of biological study, research design, collection of data, data analysis, and communication of scientific result.
Using Artificial Intelligence (AI) methods for effectively responding to climate change at marine ports
Published in Journal of International Maritime Safety, Environmental Affairs, and Shipping, 2023
Pavel Kovalishin, Nikitas Nikitakos, Boris Svilicic, Jinnan Zhang, Andrey Nikishin, Dimitrios Dalaklis, Maksim Kharitonov, Afrokomi-Afroula Stefanakou
In the contemporary era, there is cosmogonic change that will significantly affect shipping, not only in its mode of operations but also in relation to the various supporting domains, with ports also standing out (Dalaklis et al., 2022). The term Artificial Intelligence (AI) refers to the Information Technology (IT) industry and deals with the design and implementation of computer systems that mimic elements of human behavior that imply even elementary intelligence: learning, adaptability, drawing conclusions, contextual understanding, problem-solving, etc. (Dalaklis & Nikitas, 2022). AI is a crossroads between multiple sciences, such as computer science, psychology, philosophy, neurology, linguistics, and engineering, to synthesize intelligent behavior, with elements of reasoning, learning, and adaptation to the environment while usually applied on specially designed machines or computers (O’regan, 2012).
Information technology developments of logistics service providers in Hungary
Published in International Journal of Logistics Research and Applications, 2018
Judit Oláh, György Karmazin, Károly Pető, József Popp
In recent years it has become increasingly topical to examine logistics as a field of science that significantly influences the value creation and competitiveness of enterprises, and more specifically to get to know and analyse the activity of enterprises providing logistics services. In order to achieve these aims, it necessary to identify the management success factors supporting the fundamental competitiveness of logistics enterprises, as it is an essential development step for the companies involved (Wu 2012; Jazairy, Lenhardt, and von Haartman 2017). Information technology (IT) is the use of any computers, storage, networking and other physical devices, infrastructure and processes to create, process, store, secure and exchange all forms of electronic data. Performance consequences of IT investments continue to be a hot topic in light of the continued development of these technologies and their growing use in global commerce (Sabherwal and Jeyaraj 2015; Chaysin, Daengdej, and Tangjitprom 2016). It also highlights the contribution of IT in helping to restructure the entire distribution set up to achieve higher service levels and lower inventory and supply chain costs. In order to survive and remain competitive in the global market, one has to manage the future (Patro and Raghunath 2015). Effective use of the success factors of IT enhances the production, revenue and profit potential of firms. IT investment is positively associated with higher revenue and quality performance.
An empirical investigation of factors that drive a user decision to continue using cloud storage services
Published in Journal of Decision Systems, 2021
Xiaotong Liu, Victor R. Prybutok
Cloud computing means using information technology as a service (Rose, 2011), that is, the delivery of computing, storage, and software applications over the internet. Cloud computing offers software, platform, and infrastructure services. These services have quickly acquired popularity because they can provide numerous benefits, including cost reductions, operational scalability and so on (Benlian & Hess, 2011; Liu et al., 2018; Ogbanufe et al., 2019). Being different from previous Information Technology (IT) services, service online is a key concept for this service platform paradigm (Lian et al., 2014). Cloud services have the potential to assist everyday tasks by facilitating users sharing resources, interacting with each other (Arpaci et al., 2015). In this study, we focus on the services offered by cloud computing in the specific context of cloud file hosting services, also refer to as cloud storage services, from the end-users’ perspective. Current studies have examined the adoption of cloud services (Arpaci et al., 2015; Liu et al., 2019; Pardeshi, 2014; Shiau & Chau, 2016; Stantchev et al., 2014), but not every study is optimistic about the future of cloud services (Benlian et al., 2011). Lack of flexibility for performing tasks, such as functional aspects, is one major reason for dissatisfied users (Chou & Chiang, 2013). In addition, perception of low reliability results in non-usage of cloud (Gupta et al., 2013). Inspiring loyalty may not be easy (Chou & Chiang, 2013). In order to overcome the difficulties in inspiring loyal users in the coming decades, it is important to identify key factors of end-users’ continuance intention decision.