Study on the Influence of Sand Core Compactness on Surface Entropy considering Engineering Disturbance by Ding-li Su, Hang Chen, Xuemiao Xu, Mengxiong Tang, He-song Hu

“…In order to explore the correlation between the compactness of sand core samples and its surface image features and to provide the basis for rapid identification and recognition of core samples in engineering investigation, a typical image data set of sand core samples disturbed by drilling construction in practical engineering has been established, using Python language to compile algorithm to calculate one-dimensional entropy and two-dimensional entropy of 60 groups of sand core samples with different densities. …”
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Development of a Mobile Application Platform for Self-Management of Obesity Using Artificial Intelligence Techniques by Sylvester M. Sefa-Yeboah, Kwabena Osei Annor, Valencia J. Koomson, Firibu K. Saalia, Matilda Steiner-Asiedu, Godfrey A. Mills

“…The algorithm takes the users’ input information on desired foods which are selected from a database and extracted records of users on cholesterol level, diabetes status, and level of physical activity, to predict possible meals required to meet the users need. …”
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Diagnosis of Non-Tumor Stenosing Lesions of the Major Duodenal Papilla Using Endoscopic Ultrasonography by V. A. Belozerov, O. I. Okhotnikov, N. A. Korenevskiy, V. A. Prokopov, S. N. Grigoriev, S. M. Shevyakin

“…A therapeutic and diagnostic algorithm for the management of patients with dilation of the common bile duct has been introduced into clinical practice, based on the developed criteria for stenosis of the major duodenal papilla (MDP), for which endoscopic ultrasonography was used in combination with the methodology of synthesis of hybrid fuzzy decision rules.The algorithm was implemented in a group of patients, which included 217 people.Results. …”
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Harnessing Machine Learning and Nomogram Models to Aid in Predicting Progression-Free Survival for Gastric Cancer Patients Post-Gastrectomy with Deficient Mismatch Repair(dMMR) by Yifan Li, JinFeng Ma, Wenhua Cheng

“…Conclusion Our research has demonstrated the effectiveness of the RSF algorithm in accurately predicting progression-free survival (PFS) in dMMR gastric cancer patients after gastrectomy. …”
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Motion Control and Obstacle Avoidance of Mobile Robot with Mecanum Wheels by Hassan M. Alwan, Volkov Andrey Nikolavich, Ali Shbani, Kochneva Olga Vladmirovna

“…This algorithm determined the position and velocity of movable obstacle. …”
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Digital mapping of soil organic carbon in a plain area based on time-series features by Kun Yan, Decai Wang, Yongkang Feng, Siyu Hou, Yamei Zhang, Huimin Yang

“…Comparing the various environmental variable screening methods, the Boruta algorithm achieved the most significant improvement in model accuracy. …”
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Development of a deep learning method to identify acute ischaemic stroke lesions on brain CT by Emanuele Trucco, Joanna M Wardlaw, Wenwen Li, Grant Mair, Amos Storkey, Alessandro Fontanella, Antreas Antoniou, Eleanor Platt, Paul Armitage

“…We aimed to develop a deep learning (DL) method using CT brain scans that were labelled but not annotated for the presence of ischaemic lesions.Methods We designed a convolutional neural network-based DL algorithm to detect ischaemic lesions on CT. Our algorithm was trained using routinely acquired CT brain scans collected for a large multicentre international trial. …”
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Network Resilience and Rehabilitation Strategies for an Airport Movement Area Considering Traffic Flow and Road Class by Ruiling Mou, Rui Kang

“…The algorithm is developed by constructing a transportation network model for the airport movement area and extracting key nodes based on considerations of traffic flow and road class. …”
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A practical methodology for incorporating volume-translated equation of states in isochoric-isothermal phase equilibrium calculations for liquid phase pressure prediction by Chang Lu, Wenteng Zhou, Chuanwei Wang, Riyi Lin, Yingnan Zhang

“…Lastly, we apply the proposed algorithm to the two-phase VT phase equilibrium calculations for a ten-component oil sample MY10 which contains only normal alkanes. …”
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Research on the 3D Fine Modeling Method of In-Service Road by Hui Qi, Bori Cong, Rufei Liu, Xiaoli Li, Zongyao Yan, Qingying Li, Ming Li

“…Finally, the continuous quadrilateral algorithm is used to reconstruct the road model, the topological structure relationship algorithm is used to reconstruct the intersection model, and the instantiation lofting technology is used to reconstruct the rod-shaped target model, all based on the three-dimensional modeling platform. …”
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Integration of Multi-Source Landslide Disaster Data Based on Flink Framework and APSO Load Balancing Task Scheduling by Zongmin Wang, Huangtaojun Liang, Haibo Yang, Mengyu Li, Yingchun Cai

“…To tackle the issue of uneven cluster load distribution during the integration process, the APSO algorithm is proposed to facilitate cluster load balancing. …”
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Damage Identification in Large-Scale Structures Using Time Series Analysis and Improved Sparse Regularization by Huihui Chen, Xiaojing Yuan

“…Compared to the moth-flame optimization (MFO) algorithm and traditional regularization methods, for both noise-free and noise polluted data, the iteration curves illustrate that the proposed method can achieve convergence within about 200 iterations, while the MFO algorithm is always trapped into local optima; meanwhile, the traditional regularization method needs more iterations or even cannot meet the preset tolerance. …”
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Optimization of power system load forecasting and scheduling based on artificial neural networks by Jiangbo Jing, Hongyu Di, Ting Wang, Ning Jiang, Zhaoyang Xiang

“…Based on the load forecasting, a Particle Swarm Optimization (PSO) algorithm is employed to quickly determine the optimal scheduling strategy, ensuring the economic efficiency and safety of the power system. …”
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Parametric study and optimization of thermal performance and pressure drop in heat sinks with double-layer porous microchannels by Fahimeh Aliyari, Keivan Fallah, Hossein Zolfaghary Azizi, Farhad Hosseinnejad

“…In the continuation of the research, the extracted parameters were used as inputs for optimization with a multi-objective genetic algorithm aimed at enhancing thermal performance and reducing pressure drop. …”
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Homeland security video surveillance system utilising the internet of video things for smart cities by Yasser Ismail, Mohamed Hammad, Mahmoud Darwich, Wael Elmedany

“…The performance of the proposed architecture has been calculated using subjective and quantitative measures techniques and compared to the full search block‐based motion estimation (FSBB‐ME) algorithm. Moreover, the proposed architecture achieves a very high video resolution accuracy that is similar to the accuracy of the FSBB‐ME algorithm. …”
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A novel and efficient digital image steganography technique using least significant bit substitution by Shahid Rahman, Jamal uddin, Hameed Hussain, Sabir Shah, Abdu Salam, Farhan Amin, Isabel de la Torre Díez, Debora Libertad Ramírez Vargas, Julio César Martínez Espinosa

“…Our proposed image-based steganography algorithm incorporates LSB substitution with Magic Matrix, Multi-Level Encryption Algorithm (MLEA), Secret Key (SK), and transposition, flipping. …”
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Solar Irradiance Ramp Classification Using the IBEDI (Irradiance-Based Extreme Day Identification) Method by Llinet Benavides Cesar, Oscar Perpiñán-Lamigueiro

“…Our proposal includes an agglomerative algorithm to find new ramp class boundaries. The strength of the proposed method relies on that it allows its generalization to any dataset. …”
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Implementasi Teknik Enkripsi dan Dekripsi dI File Video Menggunakan Algoritma Blowfish by Nuniek Fahriani, Harunur Rosyid

“…The technique used to support encryption and decryption of video files is to apply the blowfish algorithm in its implementation. This algorithm has a variable security system. …”
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SRADHO: statistical reduction approach with deep hyper optimization for disease classification using artificial intelligence by G. Sathish Kumar, E. Suganya, S. Sountharrajan, Balamurugan Balusamy, Adil O. Khadidos, Alaa O. Khadidos, Shitharth Selvarajan

“…The execution time for SRADHO algorithm is 12 s.…”
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Optimizing personalized psychological well-being interventions through digital phenotyping: results from a randomized non-clinical trial by Giulia Rocchi, Giulia Rocchi, Emanuela Vocaj, Simone Moawad, Alessandro Antonucci, Carlo Grigioni, Vincenzo Giuffrida, Joy Bordini

“…Participants in the experimental group reported improvements in well-being and found the personalized exercises, recommended by the clustering algorithm useful.ConclusionThe study demonstrates the feasibility of a digital phenotyping-based well-being program using a chatbot. …”
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