Chiller power consumption forecasting for commercial building based on hybrid convolution neural networks-long short-term memory model with barnacles mating optimizer by Mohd Herwan Sulaiman, Zuriani Mustaffa

“…Accurate forecasting of chiller power consumption is essential for optimizing building energy management systems and reducing operational costs. Despite advances in deep learning, existing forecasting models often struggle with the complex temporal dependencies and non-linear patterns in chiller operation data. …”
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Towards gridded nighttime aerosol optical thickness retrievals using VIIRS day–night band observations over regions with artificial light sources by J. Zhang, J. S. Reid, B. T. Sorenson, S. D. Miller, M. O. Román, Z. Wang, Z. Wang, R. J. D. Spurr, S. Jaker, T. F. Eck, T. F. Eck, J. I. Rubin

“…Given the deployment of VIIRS instruments (currently in orbit and forthcoming) aboard the NOAA Joint Polar Satellite System (JPSS) series satellites, this study can be viewed as a precursor for gridded nighttime AOT retrievals at both regional and global scales in the future. …”
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Design and testing of a crawler robot based on mid-axis row guidance in a shade house by Yu Tan, Wei Su, Qinghui Lai, Lijun Zhao, Yongjie Wang, Dake Song, Yu Lan

“…A fuzzy adaptive PID path tracking algorithm and a computer vision navigation control system based on the mid-axis were designed for the tracked robot. …”
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Neural network-based snow depth retrieval from AMSR-2 brightness temperatures using ICESat-2 measurement as ground truth by Sunny Sun-Mack, Yongxiang Hu, Xiaomei Lu, Yan Chen, Ali Omar

“…IndroductionEstimating snow depth over Arctic sea ice is essential for understanding climate processes and supporting operational forecasting. Previous work has demonstrated the use of lidar backscattering pathlength moments from Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) for snow depth retrieval. …”
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Machine learning-based retrieval of total column water vapor over land using GMI-sensed passive microwave measurements by Jiafei Xu, Zhizhao Liu

“…The Global Precipitation Measurement (GPM) Microwave Imager (GMI) is a microwave (MW) radiometer that has near-global coverage and frequent revisit time. To date, operational total column water vapor (TCWV) data records from the GPM GMI sensor have been exclusively offered over oceanic regions. …”
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Comparative performance of PROMIS Sleep Disturbance computerized adaptive testing algorithms and static short form in postmenopausal women by Andrew Trigg, Claudia Haberland, Huda Shalhoub, Christoph Gerlinger, Christian Seitz

“…Abstract Background The Patient-Reported Outcomes Measurement Information System (PROMIS) Sleep Disturbance v1.0 item bank (27 items) measures sleep disturbances. …”
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Development and optimization of a neural network model using genetic algorithm to predict the performance of a packed bed reactor treating sulphate-rich wastewater by Manoj Kumar, Rohil Saraf, Shishir Kumar Behera, Raja Das, Mansi Aliveli, Arindam Sinharoy, Eldon R. Rene, Ravi Krishnaiah, Kannan Pakshirajan

“…The ANN had an overall accuracy above 98%, with a correlation coefficient of 0.99 and a root mean square error of 1.66%, suggesting its good performance. …”
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Automatic Irrigation Based on Soil Moisture for Vegetable Crops by Rafael Muñoz-Carpena, Michael D. Dukes

“…Recent technological advances have made soil water sensors available for efficient and automatic operation of irrigation systems. Automatic soil water sensor-based irrigation seeks to maintain a desired soil water range in the root zone that is optimal for plant growth. …”
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In-flight Electrocardiography Monitoring in a Pilot During Cross Country Flight by William D. Kim, Sang-Wook Kim, Seong-Kyu Cho, Ju Hyeon Byeon, GunYoung Lee, WooSeok Hyun, JoungSoon Jang

A novel approach to wind energy modeling in the context of climate change at Zaafrana region in Egypt by Bassem Khaled Kamel, Almoataz Y. Abdelaziz, Mahmoud A. Attia, Amr Khaled Khamees

“…The proposed wind energy model could be valuable to system operators as a decision-making aid when dealing with and analyzing complex power systems.…”
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GNSS Precipitable Water Vapor Prediction for Hong Kong Based on ICEEMDAN-SE-LSTM-ARIMA Hybrid Model by Jie Zhao, Xu Lin, Zhengdao Yuan, Nage Du, Xiaolong Cai, Cong Yang, Jun Zhao, Yashi Xu, Lunwei Zhao

“…Accurate prediction of Global Navigation Satellite System-derived precipitable water vapor (GNSS-PWV), which is a crucial indicator for climate change monitoring, holds significant scientific value for climate disaster prevention and mitigation. …”
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Comparison of accuracy in C1–C2 pedicle screw placement: O-arm, 3D guides, and C-arm fluoroscopy by Yuwei Li, Haijiao Wang, Xiuzhi Li, Wei Cui, Peng Zhou, Wei Xiao, Zimin Wang

“…All the incisions healed without infection or delayed recovery. O-arm S8 navigation system and individualized guide plate assisted atlantoaxial screw placement can achieve high and stable accuracy, which is better than the traditional freehand screw placement technique under fluoroscopy; O-arm navigation technology has an advantage in the one-time success rate of atlantoaxial screw placement, which is higher than that of the guide plate group and the fluoroscopy group; Individualized guide plate combined with lateral fluoroscopy can accurately place atlantoaxial screws, save operation time and reduce bleeding.…”
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Optimizing Eco-Efficiency of green Infrastructure: A comparative study of woody plant species Utilizing SWMM-HYDRUS model and Analytic Hierarchy process by Bei Zhang, Zheng Liang, Lidong Zhao, Letong Ma, Shouhua Zhang, Taolve Gao, Liang Chen

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Automatic Irrigation Based on Soil Moisture for Vegetable Crops by Rafael Muñoz-Carpena, Michael D. Dukes

“…Recent technological advances have made soil water sensors available for efficient and automatic operation of irrigation systems. Automatic soil water sensor-based irrigation seeks to maintain a desired soil water range in the root zone that is optimal for plant growth. …”
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A partial factorization of the powersum formula by John Michael Nahay

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Enlightening health professionals’ predisposition toward green prescriptions in Italy by Maurizio Droli, Elisa Cargnelutti, Stefano Qualizza, Vincenzo Canzonieri, Sonia De Simon, Camilla Costa, Eleonora Droli, Fabio G. Vassallo

“…Conclusions: We commented these findings in relation to the extant literature, proposed a theoretically rooted definition of GRx, and stressed the importance of promoting knowledge and GRx prescription, both for the benefit of patients and the whole healthcare system.…”
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Compatibility between variable taper mechanized instruments and corresponding gutta-percha cones: photomicrograph analysis by Márcia Eugênia de Sousa Damasceno Feitosa, Gabriela Martins Rodrigues Rosa, Suyane Maria Luna-Cruz, Elilton Cavalcante Pinheiro-Júnior, Nilton Vivacqua-Gomes, Bruno Carvalho de Vasconcelos

“…KEYWORDS Endodontics; Gutta-Percha; Photomicrography; Root canal preparation; Root canal obturation. …”
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An enhanced CNN with ResNet50 and LSTM deep learning forecasting model for climate change decision making by Ahmed M. Elshewey, Mona M. Jamjoom, Eman H. Alkhammash

“…In this context, accurately forecasting temperature and wind power becomes crucial for ensuring the stable operation of wind energy systems and for effective power system planning and management. …”
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A comparative study of the performance of ten metaheuristic algorithms for parameter estimation of solar photovoltaic models by Adel Zga, Farouq Zitouni, Saad Harous, Karam Sallam, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

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Design and beam dynamics studies of low energy beam transport for MEHIPA by Pallavi Priyadarshini, Jose V Mathew, Rajni Pande, SVLS Rao, Rajesh Kumar

“…Low Energy High Intensity Proton Accelerator (LEHIPA), the initial stage of India’s Accelerator Driven Subcritical System (ADSS) program has been commissioned to the design energy of 20 MeV at BARC, Mumbai. …”
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