Driving Supply Chain Transformation with IoT and AI Integration: A Dual Approach Using Bibliometric Analysis and Topic Modeling by Jerifa Zaman, Atefeh Shoomal, Mohammad Jahanbakht, Dervis Ozay

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The human-on-the-loop evaluation of multiobjective optimization algorithms for solving a real-world problem that integrates the food-energy-water nexus security and climate change... by Isaac Okola, Daniel Orwa Ochieng, Evans Kirimi Miriti, Gilbert Ouma Ong'isa

“…Based on the identified knowledge gaps, the findings, and the limitations of this research, we propose future research areas that can be undertaken to improve the performance evaluation of algorithms. …”
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Method of calculating the pressure on the soil of wheeled tractors by V. Yu. Revenko, A. N. Nazarov, V. I. Skorlyakov

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Comparison of the STANDARD M10 C. difficile, Xpert C. difficile, and BD MAX Cdiff assays as confirmatory tests in a two-step algorithm for diagnosing Clostridioides difficile infec... by Hyunseul Choi, Minhee Kang, Sun Ae Yun, Hui-Jin Yu, Eunsang Suh, Tae Yeul Kim, Hee Jae Huh, Nam Yong Lee

“…In conclusion, the M10 assay is a reliable diagnostic tool, performing comparably to the Xpert and BD MAX assays when used as confirmatory testing in the two-step algorithm.IMPORTANCEWhile numerous studies have assessed nucleic acid amplification tests (NAATs) as stand-alone tests for diagnosing Clostridioides difficile infection, limited research has compared their performance as confirmatory tests in a two-step algorithm. …”
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Methodology for detecting anomalies in cyber attack assessment data using Random Forest and Gradient Boosting in machine learning by A. S. Kechedzhiev, O. L. Tsvetkova, A. I. Dubrovina

“…Developing effective methods for detecting anomalies and protecting against cyber threats is becoming a priority for organizations. Method. The research is carried out using two machine learning algorithms: Random Forest and gradient boosting. …”
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Research of electronic compensation methods of reserence signal in the surveillance channel of semi-active coherent bistatic DVB-T2 radar by P. I. Karpovich, S. A. Korenevsky, V. V. Muraviov

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Trade-off between cost and performance of earth observation data in olive trees health assessment: Digital crop mapping approach using machine learning algorithms by Yassine Bouslihim, Abdelkrim Bouasria, Aicha Rochdi, El Bachir El Haissen, Dénes Loczy, Zoltan Orban, Ali Salem

“…Furthermore, three machine learning algorithms, Random Forest (RF), Cubist, and Extreme Gradient Boosting (XGBoost), were employed to predict chlorophyll content. …”
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An Experimental Study of Strategies to Control Diversity in Grouping Mutation Operators: An Improvement to the Adaptive Mutation Operator for the GGA-CGT for the Bin Packing Proble... by Stephanie Amador-Larrea, Marcela Quiroz-Castellanos, Octavio Ramos-Figueroa

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Optimization of Short-Lag Spatial Coherence Imaging Method by Jakub DOMARADZKI, Marcin LEWANDOWSKI, Norbert ŻOŁEK, Marcin LEWANDOWSKI

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Simulation and accurate prediction of thermal efficiency of functionalized COOH-MWCNT/water nanofluids by artificial neural network using experimental data by Mohammad Hemmat Esfe, Davood Toghraie, Saeed Esfandeh, Sayyid Majid Motallebi

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Predicting Running Vertical Ground Reaction Forces Using Neural Network Models Based on an IMU Sensor by Shangxiao Li, Jiahui Pan, Dongmei Wang, Shufang Yuan, Jin Yang, Weiya Hao

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2024 update of the AGIHO guideline on diagnosis and empirical treatment of fever of unknown origin (FUO) in adult neutropenic patients with solid tumours and hematological malignan... by Michael Sandherr, Jannik Stemler, Enrico Schalk, Tessa Hattenhauer, Marcus Hentrich, Bernd Hertenstein, Christian Hohmann, Sibylle C. Mellinghoff, Rebekka Mispelbaum, Christina Rieger, Martin Schmidt-Hieber, Rosanne Sprute, Guenter Weiss, Oliver A. Cornely, Larissa Henze, Cornelia Lass-Floerl, Gernot Beutel, Annika Y. Classen, Noemi F. Freise, Meinolf Karthaus, Philipp Koehler, Robert Krause, Julia Neuhann, Hans Martin Orth, Olaf Penack, Markus Schaich, Karsten Spiekermann, Sebastian Voigt, Florian Weissinger, Elena Busch

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Virtual care for prostate cancer survivorship: protocol for an evaluation of a nurse-led algorithm-enhanced virtual clinic implemented at five cancer centres across Canada by Antonio Finelli, Ricardo Rendon, Joseph A Cafazzo, Robert Hamilton, Alejando Berlin, Jacqueline L Bender, Denise Bryant-Lukosius, Quynh Pham, Jason Hearn, Ian Brown, Andrew H Feifer, Geoffrey Gotto

“…Despite the promise of the Ned Clinic, the model remains limited by its dependence on oncology specialists, lack of an autonomous triage algorithm, and has only been implemented among PCa survivors living in Ontario.Methods and analysis Our programme of research comprises two main research objectives: (1) to evaluate the process and cost of implementing and sustaining five nurse-led virtual PCa survivorship clinics in three provinces across Canada and identify barriers and facilitators to implementation success and (2) to assess the impact of these virtual clinics on implementation and effectiveness outcomes of enrolled PCa survivors. …”
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Synchronization and demodulation of LoRa null port data by Lei Fang, Chen Bo, Lv Jingzhao, Li Pingan, Du Haitao, Li Su

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Microwave absorption performance and broadband absorption optimization of reduced graphene oxide by CHU Hairong, ZHOU Mengyu, SHI Shuangqiang, REN Sue

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Multi objective elk herd optimization for efficient structural design by Pinank Patel, Divya Adalja, Nikunj Mashru, Pradeep Jangir, Arpita, Reena Jangid, Gulothungan G, Mohammad Khishe

“…Abstract This research presents an advancement of the Elk Herd Optimization targeting specific real-world multi-objective optimization problems, this algorithm is stated as the multi-objective Elk Herd Optimization (MOEHO). …”
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Predicting Gestational Diabetes Mellitus in the first trimester using machine learning algorithms: a cross-sectional study at a hospital fertility health center in Iran by Somayeh Kianian Bigdeli, Marjan Ghazisaedi, Seyed Mohammad Ayyoubzadeh, Sedigheh Hantoushzadeh, Marjan Ahmadi

“…Late diagnosis can have significant implications for both the mother and the fetus. This research aims to create an early prediction model for GDM in the first trimester of pregnancy. …”
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Optimisation of Aluminium Alloy Variable Diameter Tubes Hydroforming Process Based on Machine Learning by Yong Xu, Xuewei Zhang, Wenlong Xie, Shihong Zhang, Yaqiang Tian, Liansheng Chen

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Design and experiment of path tracking system for field management machine by HUANG Tengda, JIANG Pin, HU Wenwu, XIAO Feifei, WU Fan, LIU Zhanming

“…Then, based on the four-wheel steering model, a pure tracking algorithm was used for wheel steering angle control research. …”
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Research of Gear Position Decision of Dual Motor Multiple Speed AMT based on BP and Its Optimization Neural Network by Yongqiang Ren, Qisheng Wu, Biao Yuan

“…By using the three-parameter shift law， the algorithm and parameter optimization are carried out to overcome the shortcomings of traditional BP neural network in optimized BP neural network of gear position decision， and then the optimized BP neural network is obtained. …”
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