RETRACTED ARTICLE: A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications by Hadi Hashemzadeh, Seyedehsamaneh Shojaeilangari, Abdollah Allahverdi, Mario Rothbauer, Peter Ertl, Hossein Naderi-Manesh

“…Our results demonstrate that ResNet18, a residual learning convolutional neural network, is an efficient and promising method for lung cancer cell-lines categorization with a classification accuracy of 98.37% and F1-score of 97.29%. …”
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Prediction of Rheological Parameters of Polymers by Machine Learning Methods by T. N. Kondratieva, A. S. Chepurnenko

“…The developed models showed an average absolute percentage error in the range of 5.9 – 8.9%. …”
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Systematic protection and restoration of water bodies in collapse areas based on surface runoff regulation by Shaogang LEI, Yufan XU, Mian ZHANG, Dongxing CHEN, Xia HUA, Dong GUO

“…The main technical contents include: Analysis of surface runoff network using precision DEM Various water body identification and precise monitoring of water surface elevation, construction of water connected corridor network and evaluation of hydrodynamic enhancement effect, calculation of suitable range of water vegetation buffer zone, spatial identification of missing vegetation buffer zone, evaluation of water protection and restoration effect, and other technical aspects. …”
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Multi-Objective Improved Differential Evolution Algorithm-Based Smart Home Energy Management System Considering Energy Storage System, Photovoltaic, and Electric Vehicle by Mina GhasemiGarpachi, Moslem Dehghani, Mokhtar Aly, Jose Rodriguez

“…However, the wasted energy of PVs and the simultaneous consideration of ESS and plug-in hybrid electric vehicles (PHEVs) in multi-objective problems have not been taken into account. Hence, this paper examines the maximum use of PVs, ESS, and PHEV, and utilizes upstream electricity and selling energy simultaneously in single-objective and multi-objective problems to minimize three objective functions, such as the entire energy cost, peak-to-average ratio (PAR), and wasted energy of PV. …”
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The potential & limitations of monoplotting in cross-view geo-localization conditions by Bradley J. Koskowich, Michael J. Starek, Scott A. King

“…Cross-view geolocalization (CVGL) describes the general problem of determining a correlation between terrestrial and nadir oriented imagery. …”
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Smart Grid System Based on Blockchain Technology for Enhancing Trust and Preventing Counterfeiting Issues by Ala’a Shamaseen, Mohammad Qatawneh, Basima Elshqeirat

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Towards precision agriculture tea leaf disease detection using CNNs and image processing by Irfan Sadiq Rahat, Hritwik Ghosh, Suresh Dara, Shashi Kant

“…Key to our model’s design is the incorporation of residual blocks, facilitating the learning of deeper networks by alleviating the vanishing gradient problem. …”
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For Precision Animal Husbandry: Precise Detection of Specific Body Parts of Sika Deer Based on Improved YOLO11 by Jinfan Wei, Haotian Gong, Lan Luo, Lingyun Ni, Zhipeng Li, Juanjuan Fan, Tianli Hu, Ye Mu, Yu Sun, He Gong

“…However, the traditional management methods have problems such as low efficiency, easy triggering of strong stress responses, and damage to animal welfare. …”
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Digital Twin-Based Technical Research on Comprehensive Gear Fault Diagnosis and Structural Performance Evaluation by Qiang Zhang, Zhe Wu, Boshuo An, Ruitian Sun, Yanping Cui

“…However, the current gear operation is still faced with problems such as poor monitoring, a single detection index, and low data utilization, which lead to incomplete evaluation results. …”
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Socio-Economic Factors of Population Reproduction in Russia and in the Context of Federal Districts by T. I. Gulyaeva, E. V. Takmakova, V. I. Savkin

“…In the Central Federal District and the North-Western Federal Districts for the period 1990-2021, the total fertility rate did not exceed the average Russian level of this index. Over the past three years (2019-2021), the total fertility rate has been decreasing in the Northwestern, Southern, Volga, and Siberian Federal Districts.In order to eliminate negative trends in the birth rate in the regions, it is necessary to create jobs, form normal housing conditions, ensure sustainable growth in real income of the population, organize a modern level of healthcare, education, develop a network of preschool institutions, and support families.…”
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Efficient Method for Robust Backdoor Detection and Removal in Feature Space Using Clean Data by Donik Vrsnak, Marko Subasic, Sven Loncaric

“…The steady increase of proposed backdoor attacks on deep neural networks highlights the need for robust defense methods for their detection and removal. …”
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Comparing the Efficiency of Sediment Rating Curve and ANN Models in Estimating River Bed-load by Jamal Mosaffaie, Amin Saleh pourjam, Mahmudreza Tabatabaei

“…Regarding the measurement problems of bed-load, our results can lead to making more accurate estimations of bed-load and total sediment load. …”
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Presenting Iran's new economic diplomacy model with an export approach for neighboring countries with an emphasis on cultural and media diplomacy capacities by sekhavat kheirkhah, sayed Ali Tabatabai Panah, Alireza Soltani, Hamid Reza Shirzad

“…From 2013 to 2022, Iran's average exports to its neighbors have decreased. This situation indicates the existence of a serious problem in Iran's exploitation model and business system. …”
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Evaluating the slope behavior for geophysical flow prediction with advanced machine learning combinations by Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh, Viroon Kamchoom

“…In the case of slope stability problems, performing on-site tests is both costly and time-intensive due to the need for sophisticated equipment (to acquire and move) and logistics. …”
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Analysis of Dynamic Transaction Fee Blockchain Using Queueing Theory by Koki Inami, Tuan Phung-Duc

“…In recent years, blockchains have been attracting attention because they are decentralized networks with transparency and trustworthiness. Generally, transactions on blockchain networks with higher transaction fees are processed preferentially compared to others. …”
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The International Tax Competitiveness: Bibliometric Analysis by Oleksiy Mazurenko, Inna Tiutiunyk

“…The paper clusters international research networks on tax competitiveness by geographical area and identifies 5 clusters of cooperation of scientists in the preparation of publications indexed in the Web of Science database and 4 clusters – in the preparation of publications indexed in the Scopus database. …”
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An exercise prescription algorithm for clinicians to use with their patients with cardiovascular disease risk factors by Shiqi Chen, Yin Wu, Justin Kennedy, Gregory Panza, Margaux Zwierko Guidry, Linda S Pescatello

“…Prioritize Personalize Prescribe Exercise algorithm appears to be a potential solution to this problem.…”
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A common cortical circuit mechanism for perceptual categorical discrimination and veridical judgment. by Feng Liu, Xiao-Jing Wang

“…Interestingly, for a broad range of intermediate angular distances between the two stimuli, the network displays a mixed strategy in the sense that direction estimates are stochastically produced by winner-take-all on some trials and by vector averaging on the other trials, a model prediction that is experimentally testable. …”
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Artificial Intelligence in the Oil and Gas Industry: Applications, Challenges, and Future Directions by Marcelo dos Santos Póvoas, Jéssica Freire Moreira, Severino Virgínio Martins Neto, Carlos Antonio da Silva Carvalho, Bruno Santos Cezario, André Luís Azevedo Guedes, Gilson Brito Alves Lima

“…This study aims to provide a comprehensive overview of the application of artificial intelligence (AI) methods to solve real-world problems in the oil and gas sector. The methodology involved a two-step process for analyzing AI applications. …”
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Blasting vibration velocity prediction of open pit mines based on GRA-EPSO-SVM model by Pengfei ZHANG, Yong YUAN, Yunhua HE, Shaojun DAI, Jiazhen LI, Xuehai CHI, Wei LI, Xue SUN, Jiao ZHANG, Runcai BAI, Honglu FEI

“…In the scene of coal and rock interbedded blasting in open-pit mine, aiming at the problems that the existing prediction methods of blasting vibration peak value are difficult to achieve ideal prediction results, resulting in unreasonable design of blasting parameters and initiation network, a prediction model of blasting vibration peak value based on integrated particle swarm optimization support vector machine algorithm (GRA-EPSO-SVM) with grey correlation degree feature selection is proposed. …”
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