From knowledge encoding to procedural generation for early-stage layout design: A case of linear shopping centres by Baizhou Zhang, Biao Li

“…The results show that the method can deal with the complex spatial elements of linear shopping centres and provide design references for architects, which helps combine generative algorithms with the design process.…”
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The use of artificial intelligence in counter-disinformation: a world wide (web) mapping by Federico Pilati, Federico Pilati, Federico Pilati, Tommaso Venturini

“…Thus, there is a growing recognition of the need for benchmarking the various ongoing efforts to ensure greater efficacy and coordination in the use of AI and assure that this does not lead to forms of algorithmic censorship. Our goal is to provide a mapping of the projects that use AI to counter disinformation by means of their hyperlink network analysis to shed light on their aims, approaches, and challenges.…”
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The Clearing System of Mutual Settlements between Participants of the Innovation-Industrial Cluster by I. V. Novikova, V. V. Smelova, D. V. Sazonova

“…The solution to the problem is the plan of mutual settlements between the cluster members, which minimizes the objective function that sets the value of the costs of counterparties in mutual settlements. Algorithms for the formation of the optimal plan are given. …”
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New concept for the value function of prospect theory by Kazuo Sano

“…Additionally, we have conducted empirical studies on algorithmic trading strategies that employ different value function specifications.…”
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AI in enhancing cultural sensitivity by Dwi Mariyono, Mufidul Abror

“…However, challenges such as algorithmic bias and unequal access persist, underscoring the need for ethical frameworks and culturally responsive pedagogies. …”
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Novel Concepts in Vague Graphs with Application in Hospital’s Management System by Xiaolong Shi, Saeed Kosari, N. Mehdipoor, A.A. Talebi, G. Muhiuddin

“…Many problems of practical interest can be modeled and solved by using vague graph (VG) algorithms. Vague graphs, belonging to the fuzzy graphs (FGs) family, have good capabilities when faced with problems that cannot be expressed by FGs. …”
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Active Reflectors: Possible Solutions Based on Reflectarrays and Fresnel Reflectors by Lorena Cabria, José Ángel García, Julio Gutiérrez-Ríos, Antonio Tazón, Juan Vassal'lo

“…This simulator allows the study of performance of this kind of reflectors and, applying evolutionary algorithms, to find optimal configurations of reflector in accordance with the given specifications for the conformal radiation pattern.…”
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Detection of selfish nodes based on credit mechanism in opportunistic networks by Zuo-yong TANG, Yi-jia YUAN, Yong-qiang DONG, Guo-xin WU

“…The existence of selfish nodes seriously affects the routing performance of opportunistic networks(OppNet).To protect the OppNet against the nodes’ selfish behavior,a credit-based selfish nodes detection mechanism was proposed to make it possible to keep away from such nodes during the process of message forwarding.The mechanism leverages 2-ACK messages to observe the nodes’behavior.Then the credit value was calculated based on the observation information and accordingly acts as the metric to distinguish the selfish nodes.Simulation results show that,when coupled with various routing algorithms,the mechanism could detect selfish nodes out accurately,and improve network performance effectively in terms of delivery rate and traffic load.…”
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Artificial Intelligence and Physics-Based Anomaly Detection in the Smart Grid: A Survey by Giovanni Battista Gaggero, Paola Girdinio, Mario Marchese

“…This work systematically examines the current state of research, evaluating the investigated use cases, the algorithms, the performances and the validation of the papers, identifying key gaps, and offering insights for advancing in this research field.…”
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Reliable steganalysis of color images based on color gradient sequence by QI Ke1, ZHANG Da-fang1, XIE Dong-qing2

“…Based on the difference between the vibrations of color gradient orientation sequences and color gradient sum sequences of stego images and those of images without hiding message,a novel reliable steganalysis of color images was presented which major in the analysis of these two categories of color gradient sequences,which could distill the differ-ences of the vibrations of them.The Hilbert-Huang transform based characteristic vectors were constructed and the SVM classifier was used to classification.The experimental results have shown that the proposed method realizes the reliable steganalysis of color images with higher correct rate,shorter vectors and lower false positive rate comparing with tradi-tional color image steganalysis algorithms.…”
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SIMULATION TRAINING IN MEDICAL STUDENT PREPARATION by Oleg V. Zinchenko, Alla A. Muravyeva, Oksana V. Vladimirova

“…The developed method of preparation and improvement of professional skills of medical students allows to study algorithms of first aid in critical cases more deeply, to learn emergency medical manipulations, to be able to evaluate the results of performed manipulations. …”
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MODELING OF SOLAR RADIATION WITH A NEURAL NETWORK by VALENTIN STOYANOV, IVAYLO STOYANOV, TEODOR ILIEV

“…The possible ANN structure, the size of training data set, the number of hidden neurons, and the type of training algorithms were analyzed in order to identify the most appropriate model. …”
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From tedious to targeted: Optimizing oral cancer research with Consensus AI by Ajinkya M. Pawar, Rajiv Desai, Bhagyashree Thakur

“…Consensus AI, on the other hand, presents a viable alternative by effectively sorting through enormous datasets by utilizing several AI algorithms. Consensus AI reduces biases, increases efficiency, and improves article selection dependability by merging a variety of AI models. …”
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Computer vision based automatic evaluation method of Y2O3 steel coating performance with SEM image by Jianhong Zhao, Huamin Yang, Yi Sui

“…By leveraging advanced computer vision algorithms, specifically a suitable model for long-term dendritic solidifications named Tang Rui Detect (TRD), the method achieves efficient and accurate detection and quantification of microstructure features. …”
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Development of Comprehensive Devnagari Numeral and Character Database for Offline Handwritten Character Recognition by Vikas J. Dongre, Vijay H. Mankar

“…In handwritten character recognition, benchmark database plays an important role in evaluating the performance of various algorithms and the results obtained by various researchers. …”
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Social Network Community Detection Using Agglomerative Spectral Clustering by Ulzii-Utas Narantsatsralt, Sanggil Kang

“…Most spectral clustering algorithms have been implemented on artificial networks, and accuracy of the community detection is still unsatisfactory. …”
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A Spontaneous Isolated Superior Mesenteric Artery Dissection Associated with Cocaine Abuse: A Pathomechanistic Association by Rayan S. El-Zein, Jeffrey Sobecki, Roy Greenberg, Michael Keleher, Robert A. Palma

“…Our report emphasizes the need to consider cocaine abuse in SISMAD pathophysiology, risk stratification, and treatment algorithms in future studies.…”
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STUDY ON CALCULATION METHOD OF STRESS SEPARATION BY OBLIQUE INCIDENCE TECHNIQUE by LIU XiaoMeng, DAI ShuGuang

“…Conventional method for solving nonlinear overdetermined equations is difficult,new particle swarm optimization algorithms are proposed for oblique incidence stress separation. …”
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Transit Route Network Design for Low-Mobility Individuals Using a Hybrid Metaheuristic Approach by Tao Zhang, Gang Ren, Yang Yang

“…Then, a hybrid metaheuristic approach based on ant colony and genetic algorithms is formulated to solve the proposed model in accordance with current conditions (i.e., existing routes that may need to undergo configuration adjustments to different degrees). …”
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Modelling to Engineering Data Using a New Class of Continuous Models by I. Elbatal, Naif Alotaibi

“…Simulations are carried out to show the consistency and efficiency of parameter estimates, and finally, real data sets are used to demonstrate the flexibility and potential usefulness of the proposed family of algorithms by using the TLW exponential model as example of the new suggested family.…”
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