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Niccolo Pescetelli
As artificial intelligence becomes ubiquitous in our lives, so do the opportunities to combine machine and human intelligence to obtain more accurate and more resilient prediction models across a wide range of domains. Hybrid intelligence can be designed...
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Muhammad Mateen Yaqoob, Muhammad Nazir, Muhammad Amir Khan, Sajida Qureshi and Amal Al-Rasheed
One of the deadliest diseases, heart disease, claims millions of lives every year worldwide. The biomedical data collected by health service providers (HSPs) contain private information about the patient and are subject to general privacy concerns, and t...
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Songnong Li, Yao Yan, Yongliang Ji, Wenxin Peng, Lingyun Wan and Puning Zhang
The increasing number of Artificial Intelligence of Things (AIoT) devices at the edge layer brings serious challenges to the traditional access network architecture, which results in a decrease in data transmission due to different QoS requirements. To i...
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Christos Troussas, Akrivi Krouska, Antonios Koliarakis and Cleo Sgouropoulou
Recommender systems are widely used in various fields, such as e-commerce, entertainment, and education, to provide personalized recommendations to users based on their preferences and/or behavior. ?his paper presents a novel approach to providing custom...
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Chang-Bae Gil and Jee-Hyong Lee
Manufacturing sites encounter various scheduling problems, which must be dealt with to efficiently manufacture products and reduce costs. With the development of smart factory technology, many elements at manufacturing sites have become unmanned and more...
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Sangsung Park and Sunghae Jun
Cognitive artificial intelligence (CAI) is an intelligent machine that thinks and behaves similar to humans. CAI also has an ability to mimic human emotions. With the development of AI in various fields, the interest and demand for CAI are continuously i...
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Zaid Abdi Alkareem Alyasseri, Ali H. Al-Timemy, Ammar Kamal Abasi, Alexandru Lavric, Husam Jasim Mohammed, Hidenori Takahashi, Jose Arthur Milhomens Filho, Mauro Campos, Rossen M. Hazarbassanov and Siamak Yousefi
Machine learning models have recently provided great promise in diagnosis of several ophthalmic disorders, including keratoconus (KCN). Keratoconus, a noninflammatory ectatic corneal disorder characterized by progressive cornea thinning, is challenging t...
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Sara Ebrahimi, Aminah Robinson Fayek and Vuppuluri Sumati
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Jittiphong Klomjit and Atthapol Ngaopitakkul
This research proposes a comparison study on different artificial intelligence (AI) methods for classifying faults in hybrid transmission line systems. The 115-kV hybrid transmission line in the Provincial Electricity Authority (PEA-Thailand) system, whi...
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Ângelo de Carvalho Paulino, Lamartine Nogueira Frutuoso Guimarães, Dr., Elcio Hideiti Shiguemori, Dr.
Pág. 162 - 195
Nowadays, there is a remarkable world trend in employing UAVs and drones for diverse applications. The main reasons are that they may cost fractions of manned aircraft and avoid the exposure of human lives to risks. Nevertheless, they depend on positioni...
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Emanuele Ogliari, Francesco Grimaccia, Sonia Leva and Marco Mussetta
The accurate forecasting of energy production from renewable sources represents an important topic also looking at different national authorities that are starting to stimulate a greater responsibility towards plants using non-programmable renewables. In...
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Klaus Solberg Søilen
JISIB continues to publish Case Studies. In addition we also publish in this issue Patents Analyses. Patent analyses can be read both as examples of how to perform such analyses, but may also find interest within specific industries. Professor Henri Dou,...
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Shaoyong Han, Zhun Zhu, Mina Mortazavi, Ahmed M. El-Sherbeeny and Peyman Mehrabi
The aim of this paper is to study the performance of a composite floor system at different heat stages using artificial intelligence to derive a sustainable design and to select the most critical factors for a sustainable floor system at elevated tempera...
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Umberto Junior Mele, Luca Maria Gambardella and Roberto Montemanni
Recent systems applying Machine Learning (ML) to solve the Traveling Salesman Problem (TSP) exhibit issues when they try to scale up to real case scenarios with several hundred vertices. The use of Candidate Lists (CLs) has been brought up to cope with t...
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Liliya A. Demidova and Artyom V. Gorchakov
Inspired by biological systems, swarm intelligence algorithms are widely used to solve multimodal optimization problems. In this study, we consider the hybridization problem of an algorithm based on the collective behavior of fish schools. The algorithm ...
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Ping Jiang and Ying Nie
Accurate and reliable power load forecasting not only takes an important place in management and steady running of smart grid, but also has environmental benefits and economic dividends. Accurate load point forecasting can provide a guarantee for the dai...
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Hoang-Long Nguyen, Thanh-Hai Le, Cao-Thang Pham, Tien-Thinh Le, Lanh Si Ho, Vuong Minh Le, Binh Thai Pham and Hai-Bang Ly
The main objective of this study is to develop and compare hybrid Artificial Intelligence (AI) approaches, namely Adaptive Network-based Fuzzy Inference System (ANFIS) optimized by Genetic Algorithm (GAANFIS) and Particle Swarm Optimization (PSOANFIS) an...
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Hai-Bang Ly, Lu Minh Le, Huan Thanh Duong, Thong Chung Nguyen, Tuan Anh Pham, Tien-Thinh Le, Vuong Minh Le, Long Nguyen-Ngoc and Binh Thai Pham
The main aim of this study is to develop different hybrid artificial intelligence (AI) approaches, such as an adaptive neuro-fuzzy inference system (ANFIS) and two ANFISs optimized by metaheuristic techniques, namely simulated annealing (SA) and biogeogr...
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Ricardo Rosales, Manuel Castañón-Puga, Felipe Lara-Rosano, Josue Miguel Flores-Parra, Richard Evans, Nora Osuna-Millan and Carelia Gaxiola-Pacheco
Technology has become a necessity in our everyday lives and essential for completing activities we typically take for granted; technologies can assist us by completing set tasks or achieving desired goals with optimal affect and in the most efficient way...
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Xingping Sun, Chang Chen, Lu Wang, Hongwei Kang, Yong Shen and Qingyi Chen
Since the beginning of the 21st century, research on artificial intelligence has made great progress. Bayesian networks have gradually become one of the hotspots and important achievements in artificial intelligence research. Establishing an effective Ba...
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