INEH-VNS Algorithm Solved Automatic Production System Scheduling Problem under Just-in-Time Environment by Li Qingxiang, Zhao Xiaofei, He Yude, Yin Shaojun

“…That is to say, the INEH-VNS algorithm is outstanding and more effective.…”
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Nile Red Staining for Oil Determination in Microalgal Cells: A New Insight through Statistical Modelling by Ronald Halim, Paul A. Webley

“…A quadratic surface model that successfully described the Nile red fluorescence intensity as a composite function of its variables was generated (r2=0.86). …”
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DCW-YOLO: Road Object Detection Algorithms for Autonomous Driving by Hongge Ren, Fangke Jing, Song Li

“…Finally, the deleterious gradients generated by low-quality examples are reduced using the Wise-IoU v3 bounding box loss function in conjunction with a dynamic non-monotonic focusing mechanism utilizing an anchor box gradient gain assignment strategy. …”
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The Use of Al, Cu, and Fe in an Integrated Electrocoagulation-Ozonation Process by Carlos E. Barrera Díaz, Nelly González-Rivas

“…This study presents the effect of supplying electrochemically generated metallic ions (Al, Cu, and Fe) during an ozonation process for treating industrial wastewater. …”
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Determining Point of Economic Cattle Milk Production through Machine Learning and Evolutionary Algorithm for Enhancing Food Security by Sonam Bhardwaj, Ayon Tarafdar, Manoj Baghel, Triveni Dutt, Gyanendra Kumar Gaur

“…The information generated by this investigation will aid in ensuring food security in terms of higher milk production while making the dairy business more sustainable and profitable for the farmers.…”
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Integer programming‐based non‐uniform window decoding schedules for spatially coupled low‐density parity‐check codes by Sirawit Khittiwitchayakul, Watid Phakphisut, Pornchai Supnithi

“…Our design is more flexible than the previous design, because the integer programming‐based design allows reduction of update numbers and performance losses through the constraints function, whereas the previous design requires observation of variable node update behaviour. …”
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Neural mechanisms in resolving prior and likelihood uncertainty in scene recognition by Kojiro Hayashi, Risa Katayama, Keisuke Fujimoto, Wako Yoshida, Shin Ishii

“…By combining these AI-generated images with the task, we conducted a functional magnetic resonance imaging (fMRI) experiment enabling systematic control of both likelihood and prior information. …”
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Can machine-learning algorithms improve upon classical palaeoenvironmental reconstruction models? by P. Sun, P. B. Holden, H. J. B. Birks, H. J. B. Birks

“…We found that the classical approaches are generally more robust, although they could also generate reconstructions which have modest statistical significance and therefore may be unreliable. …”
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Carbon Footprint Assessment on the Viability of Utilizing Brewer’s Spent Grain to Produce Biochar by Emily Newman, Nitin Nitin, Edward Spang, Glen Fox

“…The study employed a carbon footprint assessment approach to quantify the greenhouse gas (GHG) emissions associated with each disposal method, using one unprocessed kg of BSG as the functional unit. The results indicated that landfilling BSG generated approximately 3 kg CO₂ equivalent (CO₂e) per kg of unprocessed BSG, whereas biochar production reduced emissions to 1.18 kg CO₂e per kg of BSG. …”
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Traversability Analysis and Path Planning for Autonomous Wheeled Vehicles on Rigid Terrains by Nan Wang, Xiang Li, Zhe Suo, Jiuchen Fan, Jixin Wang, Dongxuan Xie

“…Afterward, the TV-Hybrid A* algorithm is proposed by redefining the path cost functions of the Hybrid A* algorithm through the simulation data and neural network method to generate a more cost-effective path. …”
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Combining 3‐D Probabilistic Kinematic Modeling With Thermal Resetting Measurements: An Approach to Reduce Uncertainty in Exhumation Histories by Sofia Brisson, Denise Degen, David Nathan, Florian Wellmann, Christoph vonHagke

“…The resulting, more robust model can then be used to re‐interpret the thermal resetting data. …”
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Assessing the Influence of Selected Permeabilization Methods on Lymphocyte Single-Cell Multi-Omics by Shifan Ding, Na Lu, Hassan Abolhassani

“…(1) Background: Single-cell multi-omics is a powerful method for the dissection and detection of complicated immunologic functions and synapses. However, most currently available technologies merge datasets of different omics from separate portions of the same sample to generate combined multi-omics. …”
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Serum-free endothelial cell culture medium for vascular smooth muscle cells sheet formation by Jing Yang, Xuheng Sun, Hongjing Jiang, Jiandong Li, Jierong Liang, Zhanyi Lin

“…Methods This study systematically compared cell sheets generated under SFM and 10% FBS culture conditions in terms of structure, cellular phenotype, and functional properties. …”
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THE FIGHT AGAINST FRAUD IN THE EUROPEAN UNION by Mihaela Iuliana DUMITRU, Diana Elena BRINZA

“…The totality of these actions is more and more extensive, given that the access to the Community financial support is currently facilitated, as a result of the particular conditions generated by the pandemic. …”
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Enhancing frozen histological section images using permanent-section-guided deep learning with nuclei attention by Elad Yoshai, Gil Goldinger, Tatiana Kogan, Anna Zakharov, Miki Haifler, Natan T. Shaked

“…We achieve this through a segmented attention network, incorporating nuclei-segmented images during training and adding an additional loss function to refine the nuclei details in the generated permanent images. …”
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Using Evolutionary Computation on GPS Position Correction by Jung Yi Lin

“…In this paper, we proposed an evolutionary computation based technique to generate a correction function by two GPS receivers and a known reference location. …”
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Land cover classification for Siberia leveraging diverse global land cover datasets by Munseon Beak, Kazuhito Ichii, Yuhei Yamamoto, Ruci Wang, Beichen Zhang, Ram C. Sharma, Tetsuya Hiyama

“…We trained the RF classifiers with multiple land cover products to produce a more precise land cover product for Siberia. The validations showed that: (a) the generated new land cover data achieved the highest overall accuracy (85.04%) and kappa coefficient (82.62%); (b) the classifications of mixed forest (user accuracy: 97.85%) and grasses (user accuracy: 94.85%) demonstrated improvements, showing higher performance compared to most other types; and (c) by comparing the distribution of land cover across climate zones, we discovered that temperature is a critical factor throughout Siberia. …”
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Potential Applicability of Air-Cooled Ladle Furnace Slag Fine Aggregate in Concrete Production by Jeongmin Ra, Sunmi Choi, Sangchul Shin, Jinman Kim

“…Electric arc furnace oxidizing slag (EAFOS) represents 80% of the electric arc furnace slag generated. Recently, EAFOS has been utilized as high value-added functional aggregate in a growing number of cases for the construction of air-cooling technology that turns EAFOS into fine aggregate-sized particles by spraying it into the air using high-pressure compressed air. …”
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Performance Analysis of the (1+1) EA on Mobile Robot Path Planning by Xinsheng Lai, Yulin Feng

“…Path planning is a fundamental function of mobile robots that have been nowadays used in a variety of areas. …”
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Characterising the Thematic Content of Image Pixels with Topologically Structured Clustering by Giles M. Foody

“…Pixels in spatially close output units are more similar spectrally and thematically than those in more distant units. …”
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