Identifying strategies to enhance the milking and operator efficiency of herringbone and rotary parlor systems in Ireland by Ryan Prendergast, Michael D. Murphy, Fergal Buckley, Martin Browne, John Upton

“…The metrics of cows milked per hour (cows/h), cows milked per operator per hour (cows/h per operator), and liters of milk harvested per hour (L/h) described milking efficiency. The metrics of total process time per cow (TPT, s/cow), milk process time per cow (MPT, s/cow), work routine time (WRT, s/cow), cluster time (CT, s/cluster), and attachment time per cow (ATC, s/cow) described operator efficiency. …”
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Optimizing wind energy conversion system efficiency using advanced modified super-twisting direct power control: Real-time implementation on dSPACE 1104 board by Mourad Yessef, Habib Benbouhenni, Ahmed Lagrioui, Youness El Mourabit, Nicu Bizon, Ilhami Colak, Badre Bossoufi, Ayman Alhejji

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Comparison of a Novel Machine Learning–Based Clinical Query Platform With Traditional Guideline Searches for Hospital Emergencies: Prospective Pilot Study of User Experience and Ti... by Hamza Ejaz, Hon Lung Keith Tsui, Mehul Patel, Luis Rafael Ulloa Paredes, Ellen Knights, Shah Bakht Aftab, Christian Peter Subbe

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An Efficient CNN for Hand X-Ray Overall Scoring of Rheumatoid Arthritis by Zijian Wang, Jian Liu, Zongyun Gu, Chuanfu Li

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Efficient Material Flow and Storage Space Determination in Automated Distribution Centers by Mohammed Alnahhal, Nikola Gjeldum, Mohammed Ruzayqat

“…More investigation was done for B items, which have daily demand levels of one layer of cases or more, but less than pallet size. First, analytical equations were formulated to model the system. …”
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Bipolar Morphological Neural Networks: Gate-Efficient Architecture for Computer Vision by Elena E. Limonova, Daniil M. Alfonso, Dmitry P. Nikolaev, Vladimir V. Arlazarov

“…The priority of building hardware-oriented neural network models is growing steadily. The target goals for their development are the performance and energy efficiency of promising hardware-software solutions. …”
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Study on Complexity of Precast Concrete Components and Its Influence on Production Efficiency by Yan Liu, Wenjing Tong, Qianqian Li, Fuyi Yao, Yan Li, Hong Xian Li, Jiaxin Huang

“…Prefabricated construction has been well recognized for its benefits, including accelerated construction cycle time and improved sustainability. However, low efficiency in the production of precast concrete components due to component and production complexity has not been sufficiently addressed in previous research. …”
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Regional disparities and dynamic evolution of suicide prevention and intervention efficiency in Japan by Yin Tang

“…IntroductionThis study investigates the cost-effectiveness of suicide prevention and intervention (SPI) efforts by prefectural governments in Japan. It represents the first application of a public sector efficiency evaluation model to assess government SPI initiatives. …”
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Reshaping Agriculture Eco-efficiency in China: From Greenhouse Gas Perspective by Guofeng Wang, Mengqi Zhao, Baohui Zhao, Xiuli Liu, Yu Wang

“…Utilizing a dataset spanning 2000 to 2021 from China, this study for the first time includes methane and nitrous oxide in the assessment of agricultural eco-efficiency with SBM-DEA model, which defines a more standardized and accurate indicator system of agricultural eco-efficiency, and provides a more comprehensive framework for assessing the impact of agriculture on the environment. …”
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PEYOLO a perception efficient network for multiscale surface defects detection by Xun Li, Yuzhen Zhao, Xiangke Jiao, Qingzhe Meng, Zhun Guo, Ruijuan Yao, Yaqiao Yang, Baoxi Yuan

“…To address this issue, we propose an innovative perception-efficient network designed for the fast and accurate detection of multi-scale surface defects. …”
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Bandit Algorithms for Efficient Toxicity Detection in Competitive Online Video Games by Jacob Morrier, Rafal Kocielnik, R. Michael Alvarez

“…When no pre-existing predictive model of toxic behavior is available, one must be estimated in real-time. …”
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ECAN-Detector: An Efficient Context-Aggregation Network for Small-Object Detection by Gaofeng Xing, Zhikang Xu, Yulong He, Hailong Ning, Menghao Sun, Chunmei Wang

“…The model first employs an additional shallow detection layer to extract high-resolution features that provide more detailed information for subsequent stages of the network, and then incorporates a dynamic scaled transformer (DST) that enriches spatial perception by adaptively fusing global semantics and local context. …”
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Efficient sepsis detection using deep learning and residual convolutional networks by Ahmed S. Almasoud, Ghada Moh Samir Elhessewi, Munya A. Arasi, Abdulsamad Ebrahim Yahya, Menwa Alshammeri, Donia Badawood, Faisal Mohammed Nafie, Mohammed Assiri

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Developing an efficient algorithm for robust school bus routing with heterogeneous fleet by Mohamad Ali Movafaghpour

“…Each scenario is generated in order to make the last found optimal solution into an infeasible one as much as possible.Findings: Experimental results show that deploying this novel algorithm for generating extreme scenarios, efficiently produces diverse scenarios. After the scenario generation algorithm is converged, the intersection of the feasible optimal solutions under diverse scenarios is extracted as robust sub-tours or robust trips.Originality/Value: It is the first time to apply the notions of robust optimization using the extreme scenarios generation scheme. …”
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Towards Efficient Serverless MapReduce Computing on Cloud-Native Platforms by Xu Huang, Rong Gu, Yihua Huang

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Early Detection and Classification of Diabetic Retinopathy: A Deep Learning Approach by Mustafa Youldash, Atta Rahman, Manar Alsayed, Abrar Sebiany, Joury Alzayat, Noor Aljishi, Ghaida Alshammari, Mona Alqahtani

“…This study leverages AI technology, specifically deep learning, to achieve two primary objectives: binary classification to determine whether a patient has DR, and multi-class classification to identify the stage of DR accurately and in a timely manner. The proposed model utilizes six pre-trained convolutional neural networks (CNNs): EfficientNetB3, EfficientNetV2B1, RegNetX008, RegNetX080, RegNetY006, and RegNetY008. …”
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Models of Bureaucracy Management Taking Into Account the Economic Development of Regions by George Aleksandrovich Borshevskiy

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A lightweight power quality disturbance recognition model based on CNN and Transformer by ZHANG Bide, QIU Jie, LOU Guangxin, ZHOU Can, LUO Qingqing, LI Tianqian

“…An efficient softthreshold block is then introduced to reduce noise and redundant features without significantly increasing the model′s parameters or complexity. …”
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A Refined Spatiotemporal ZTD Model of the Chinese Region Based on ERA and GNSS Data by Yongzhao Fan, Fengyu Xia, Zhimin Sha, Nana Jiang

“…To improve model update efficiency, the idea of updating an empirical model with sequential least square (SLSQ) adjustment is proposed for the first time. …”
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Retrospective Analysis of the Impact of a Collaborative Multidisciplinary Care Model on the Efficiency of Emergency Care and Neurological Function and Prognosis of Comatose Patient... by Yanbin Li, Fang Wang

“…Results The success rate of first aid in the control group and the study group was 91.13% and 94.34%, respectively, which was significantly lower than that of the control group (p < 0.05); the time for intravenous medication and the total time for first aid in the study group were significantly lower than that of the control group (p < 0.001). …”
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