Power Quality 24 h Verification in Smart Load Scheduling Based on Differentiate, Deep, and Assembly Statistics in NWP Processing by Ladislav Zjavka

“…The main question is the first efficient algorithmising of load scheduling tasks and their consequent day-to-day verification in the proposed two-stage PQ irregularity reveling tool. …”
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A Hybrid Deep Learning Framework for Early-Stage Alzheimer’s Disease Classification From Neuro-Imaging Biomarkers by Samina Akram, Muhammad Amjad Iqbal, Muhammad Rashid, Muhammad Shahid Bhatti, Benish Fida

“…To the best of our knowledge, this is the first ensemble-based deep learning framework combining EfficientNetB7, Xception, and MobileNetV3Large for multi-stage Alzheimer’s classification. …”
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A Hard Real-Time Kernel for CPIoT Systems With Safety Features in Rust by Nayancy Gupta, Gourinath Banda, Neminath Hubballi, K. V. Srinivas

“…HarSaRK employs a boolean-vector-based scheduling and synchronization model that replaces queues, ensuring low-jitter and deterministic execution. …”
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Effect of forage sorghum hybrids varying in berry size on berry processing score and in situ starch digestibility by Douglas Duhatschek, Jourdan Bell, Luiz F. Ferraretto, Diego Duretto, John Goeser, Elizabeth Coons, Jason K. Smith, Sushil Paudyal, Juan M. Piñeiro

“…Forage sorghum is a water-efficient crop with the potential to partially replace corn silage. …”
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YOLO-MMCE algorithm for visual detection of engineering vehicles in high-consequence area by Huimei SUN, Lu LIU, Degang WANG, Taiyong WANG

“…Additionally, to improve the regression accuracy of prediction borders, an Efficient Intersection over Union (EIOU) function was incorporated to calculate the width-height difference between prediction and real borders to replace the aspect ratio, thus further elevating the detection accuracy of the algorithm. …”
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Enhanced bioconversion of kitchen food waste into aquaculture feed using a mixed culture of Bacillus licheniformis and Yarrowia lipolytica by Yun Li, Hui Zhu, Fei Zhou, YuZhong Zheng, Yiyan Zhang, Yinhua Zheng

“…Feeding trials with juvenile yellow catfish demonstrated that replacing 15–30% of fish meal with FKW significantly improved growth performance, feed utilization, and enhanced the crude protein content in fish flesh. …”
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The toxic effect of glycerol-Cu(II) counterions on the free-living stages of Aedes aegypti by ISAÍAS CABRINI, GLENDA B. PORZANI, TIAGO DOS SANTOS, MARIA RANGEL, ANDREIA LEITE, MARCELO B. MOLENTO, EDUARDO JOSÉ DE ARRUDA

“…Ovicidal control is essential to disease control because the egg bank replaces the population at each reproductive cycle in breeding grounds. …”
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Hybrid deep learning framework for robust time-series classification: Integrating inception modules with residual networks by Duong Thi Kim Chi, Nguyen Thi Mai Trang, Tran Ba Minh Son, Nguyen Ngoc Thao, Thanh Q. Nguyen

“…By replacing the fully convolutional network (FCN) shortcut module in InceptionFCN with ResNet-50, the model gains deeper representational capacity and improved gradient flow during training. …”
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Separation characteristics of vortex three-phase flotation for offshore produced water treatment by LIU Meng, DAI Guohua, QU Zhaoguang, LIU Chunyu, CHEN Zhengwen, MA Jinxi, JIN Qiu

“…Vortex three-phase flotation had an efficient treatment on production water with different oil properties. …”
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YOLO-SRSA: An Improved YOLOv7 Network for the Abnormal Detection of Power Equipment by Wan Zou, Yiping Jiang, Wenlong Liao, Songhai Fan, Yueping Yang, Jin Hou, Hao Tang

“…In the network structure improvements, first, the ACmix module is introduced to reconstruct the SPPCSPC network, effectively suppressing background noise and irrelevant feature interference to enhance feature extraction capability; second, the BiFormer module is integrated into the efficient aggregation network to strengthen focus on critical features and improve the flexible recognition of multi-scale feature images; finally, the original loss function is replaced with the MPDIoU function, optimizing detection accuracy through a comprehensive bounding box evaluation strategy. …”
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A Robust YOLOv5 Model with SE Attention and BIFPN for Jishan Jujube Detection in Complex Agricultural Environments by Hao Chen, Lijun Su, Yiren Tian, Yixin Chai, Gang Hu, Weiyi Mu

“…Additionally, the original neck network is replaced with a BIFPN (bi-directional feature pyramid network) structure, enabling efficient multiscale feature fusion and improving the extraction of critical features, especially for small and occluded fruits. …”
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Advancements and challenges of artificial intelligence in dermatology: a review of applications and perspectives in China by Jiaao Yu, Io Hong Cheong, Zisis Kozlakidis, Hui Wang

“…Although AI demonstrated comparable results to human experts, AI still cannot replace dermatologists due to limitations in generalizability and interpretability. …”
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Biocatalysis in Transforming Biofuel Technologies by Gautam Kumar Meghwanshi, Swati Verma, Rajaram Choyal, Abhishek Vashishtha, Nhung Thi Trang Trinh, Rajender Kumar

“…Recently, the importance of biocatalysis in bioenergy has been noted, with policymakers and regulatory authorities intervening at the technological level to establish more efficient, varied, and vast-scale exploitations of biocatalysis. …”
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Digital transformation of mortality reporting using an ICD-11 integrated death certificate system in Suriname by Jerry Toelsie, Richard Mendes, Ritesh Dhanpat, Radjesh Ori, Rosmond Adams, Coen van Gool, Carine Alsokhn, Katri Kontio, and Yafflo Ouattara

“…Acting as a centralized hub, it allows the Ministry of Health to efficiently extract and analyze mortality data. Training programs have been provided for all medical doctors to ensure effective adoption. …”
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Performance Effects of Different Shutdown Methods on Three Electrode Materials for Electromethanogenesis by Nils Rohbohm, Maren Lang, Johannes Erben, Kurt Gemeinhardt, Nitant Patel, Ivan K. Ilic, Doris Hafenbradl, Jose Rodrigo Quejigo, Largus T. Angenent

“…We showed that the platinized titanium cathode resulted in high volumetric CH4 production rates and Coulombic efficiencies. Using a graphite cathode would be more cost‐effective than using the platinized titanium cathode in microbial electrochemical systems, but showed an inferior performance. …”
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Influenza neuraminidase active site proximity assay for rapid profiling of inhibitory antibodies and antigenic drift by Jin Gao, Galina Landgraf, Yue Yuan, Hai Yu, Soma Saeidi, Hyeog Kang, Mira Rakic Martinez, Luca Giurgea, Vladimir Lugovtsev, Jason Gorman, Matthew Memoli, Xi Chen, Zhiping Ye, Robert Daniels

“…Abstract Efficient approaches that can help to select vaccine strains for the influenza virus neuraminidase (NA) antigen are currently needed to advance the development of vaccines containing NA. …”
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Low-Carbon Development Strategies for Power Generation Expansion in Sub-Saharan Africa: Insights from an Optimisation-Based Analysis for Kenya by Xavier S. Musonye, Brynhildur Davíðsdóttir, Ragnar Kristjánsson, Eyjólfur I. Ásgeirsson, Hlynur Stefánsson

“…After 2035, coal capacity in the BAU scenario is replaced by solar, gas, and biomass in low-carbon scenarios. …”
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Flaw-YOLOv5s: A Lightweight Potato Surface Defect Detection Algorithm Based on Multi-Scale Feature Fusion by Haitao Wu, Ranhui Zhu, Hengren Wang, Xiangyou Wang, Jie Huang, Shuwei Liu

“…With only 4.33 million parameters, this lightweight and efficient model satisfies the requirements for detecting surface defects in potatoes. …”
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Swin-ReshoUnet: A Seismic Profile Signal Reconstruction Method Integrating Hierarchical Convolution, ORCA Attention, and Residual Channel Attention Mechanism by Jie Rao, Mingju Chen, Xiaofei Song, Chen Xie, Xueyang Duan, Xiao Hu, Senyuan Li, Xingyue Zhang

“…The encoder uses a hierarchical convolution module to build a multi-scale feature pyramid, enhancing cross-scale geological signal representation. The decoder replaces traditional self-attention with ORCA attention to enable global context modeling with lower computational cost. …”
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Pyramidal Predictive Network V2: An Improved Predictive Architecture and Training Strategies for Future Perception Prediction by Chaofan Ling, Junpei Zhong, Weihua Li, Ran Dong, Mingjun Dai

“…We redesign the downsampling and upsampling components to enable the network to construct images more effectively from low-frequency-input Fourier features, replacing the simple concatenation of different inputs in the previous version. …”
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