Artificial intelligence-enabled non-invasive ubiquitous anemia screening: The HEMO-AI pilot study on pediatric population by Daniel Gordon, Jason Hoffman, Keren Gamrasni, Yotam Barlev, Alex Levine, Tamar Landau, Ronen Shpiegel, Avishai Lahad, Ariel Koren, Carina Levin, Osnat Naor, Hannah Lee, Xin Liu, Shwetak Patel, Gilad Chayen, Michael Brandwein

Get full text

Optimising Contract Interpretations with Large Language Models: A Comparative Evaluation of a Vector Database-Powered Chatbot vs. ChatGPT by P. V. I. N. Saparamadu, Samad Sepasgozar, R. N. D. Guruge, H. S. Jayasena, Ali Darejeh, Sanee Mohammad Ebrahimzadeh, B. A. I. Eranga

Get full text

Joined Spatial and Spectral Segmentation of Hyperspectral Datasets on Historical Art Objects by Lingxi Liu, Aurore Malmert, Emeline Pouyet, Silvia Mirri, Giovanni Delnevo

Get full text

Emerging technologies in renewable energy: Risk analysis and major investment strategies by Eliyad Yamini, Hossein Khazaei, M. Soltani, Walied Alfraidi, Grigorios L. Kyriakopoulos

Get full text

GIS, remote sensing, and machine learning for identifying optimal locations for seawater intake and brine disposal in coastal desalination systems by Radwa Marzouk, Tareq M. Alkhaldi, Sakthivelu U, Saranya A, Arutperumjothi G, Srinivasan S

Get full text

Frequency Nadir Constrained Unit Commitment for High Renewable Penetration Island Power Systems by Xuebo Liu, Xin Fang, Ningchao Gao, Haoyu Yuan, Andy Hoke, Hongyu Wu, Jin Tan

Get full text

Research progress of mine 3D geological modeling: Principle, method and application by Cun ZHANG, Sheng JIA, Ye HUA, Qi SONG

“…According to the purpose and data source, it can also be subdivided into static model (structural model, stratigraphic model, attribute model) and dynamic model. The modeling process includes data acquisition, processing and model construction. …”
Get full text

Delivering data: A real-world dataset for last-mile delivery optimizationZenodo by Anna Vrani, Savvas D. Apostolidis, Athanasios Ch. Kapoutsis, Elias B. Kosmatopoulos

“…The dataset consists of carefully processed distance and time matrices, over a period of nine days. …”
Get full text

Recognition and Classification of 3D Objects of Different Details by Islam A. Alexandrov, Maxim S. Mikhailov, Alexander N. Muranov, Vladimir Zh. Kuklin

“…In summary, the structure of the proposed method comprises the computation of the Laplace-Beltrami spectrum, the construction of spectral distribution maps, and the subsequent processing of this information using a neural network. …”
Get full text

Impact of Effective Out Sourcing on Procurement Contract Performance: A Case Study of Kisoro District Local Government. by Ndayisenga, Jack

“…Data collected was edited, coded, entered into the computer, and analyzed with Excel, a Microsoft statistical package, the results were presented in tables. …”
Get full text

Abnormal link detection algorithm based on semi-local structure by Haoran SHI, Lixin JI, Shuxin LIU, Gengrun WANG

“…With the research in network science, real networks involved are becoming more and more extensive.Redundant error relationships in complex systems, or behaviors that occur deliberately for unusual purposes, such as wrong clicks on webpages, telecommunication network spying calls, have a significant impact on the analysis work based on network structure.As an important branch of graph anomaly detection, anomalous edge recognition in complex networks aims to identify abnormal edges in network structures caused by human fabrication or data collection errors.Existing methods mainly start from the perspective of structural similarity, and use the connected structure between nodes to evaluate the abnormal degree of edge connection, which easily leads to the decomposition of the network structure, and the detection accuracy is greatly affected by the network type.In response to this problem, a CNSCL algorithm was proposed, which calculated the node importance at the semi-local structure scale, analyzed different types of local structures, and quantified the contribution of edges to the overall network connectivity according to the semi-local centrality in different structures, and quantified the reliability of the edge connection by combining with the difference of node structure similarity.Since the connected edges need to be removed in the calculation process to measure the impact on the overall connectivity of the network, there was a problem that the importance of nodes needed to be repeatedly calculated.Therefore, in the calculation process, the proposed algorithm also designs a dynamic update method to reduce the computational complexity of the algorithm, so that it could be applied to large-scale networks.Compared with the existing methods on 7 real networks with different structural tightness, the experimental results show that the method has higher detection accuracy than the benchmark method under the AUC measure, and under the condition of network sparse or missing, It can still maintain a relatively stable recognition accuracy.…”
Get full text

Therapeutic role of Crateva religiosa in diabetic nephropathy: Insights into key signaling pathways. by Muhammad Ali, Hafiz M Irfan, Alamgeer, Aman Ullah, Magda H Abdellattif, Mahmoud Elodemi, Mohammad Zubair, Ajmal Khan, Ahmed Al-Harrasi

“…GO and KEGG analyses were conducted using the g: profiler databases while the process of molecular docking involved the use of MOE software. …”
Get full text

Digital society: theoretical outlines of the emerging paradigm by Yu. A. Chernavin

“…The implementation of the plan is based on the institutionalization of digital public relations. The basis of the process is the construct “human – knowledge – communication networks – computer technology”. …”
Get full text

PENERAPAN SISTEM INFORMASI POSYANDU BAGI KADER DI KECAMATAN SEMARANG SELATAN by Aji Supriyanto, Budi Hartono

“…The products gener- ated from IbM are the installation and implementation of SiPosyandu on local server computer Posyandu cadres and web servers, as well as training for skilled cadres to operate the system…”
Get full text

UAV spatiotemporal crowdsourcing resource allocation based on deep reinforcement learning by Yaxi LIU, Xulong LI, Jiahao HUO, Wei HUANGFU

Get full text

ViTAU: Facial paralysis recognition and analysis based on vision transformer and facial action units by Jia GAO, Wenhao CAI, Junli ZHAO, Fuqing DUAN

“…These maps are then processed through a pyramid convolutional neural network interpreter to generate heatmaps. …”
Get full text

Hybrid Multi-Criteria Decision Framework for Prosumers Energy Storage Systems in Smart Grids by Marriam Liaqat, Muhammad Adnan, Mohaira Ahmad, Muhammad Sajid Iqbal, Faizan Ahmad, Sami Ud Din

Get full text

An Explainable Machine Learning Approach for IoT-Supported Shaft Power Estimation and Performance Analysis for Marine Vessels by Yiannis Kiouvrekis, Katerina Gkirtzou, Sotiris Zikas, Dimitris Kalatzis, Theodor Panagiotakopoulos, Zoran Lajic, Dimitris Papathanasiou, Ioannis Filippopoulos

Get full text

High-flux neutron source from deuterons accelerated by subpicosecond laser-driven collisionless shock in gas cell targets by Z B Wu, Y L Yao, X F Shen, T Ye, L Y Yang, S P Zhu, X T He, B Qiao

Get full text

DMYTRО DONTSOV’S TEXTS IN THE ASPECT OF CORPUS LINGUISTICS AND LEXICOGRAPHY by Oksana R. Mykytyuk, Liliia V. Kharchuk

“…Increasingly, computer technologies in linguistics offer their advanced tools to process, store and select language data, which has triggered the fast development of the actual branch of linguistic studies – corpus linguistics. …”
Get full text