A Framework for Coverage Path Planning of Outdoor Sweeping Robots Deployed in Large Environments by Braulio Félix Gómez, Akhil Jayadeep, M. A. Viraj J. Muthugala, Mohan Rajesh Elara

“…Simulation results demonstrated that Voronoi-based decomposition achieves higher area coverage (average coverage of 95.6%) than grid-based decomposition (average coverage 52.8%). …”
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Personalized machine learning models for noninvasive hypoglycemia detection in people with type 1 diabetes using a smartwatch: Insights into feature importance during waking and sl... by Yasmine M Mohamed, José Mancera, Andreas Brandenberg, Stefan Fischli, Michael M Havranek

“…Seventeen personalized models were built with an average area under the receiver operating characteristic curve (AUROC) score of 0.74 ± 0.08. …”
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An Advanced MPPT Scheme for PV Systems Application with Less Output Ripple Magnitude of the Boost Converter by Abdelkhalek Chellakhi, Said El Beid, Younes Abouelmahjoub

“…This aim can be achieved by operating the photovoltaic array at its optimum power and reducing the output ripple problem of DC-DC converters that affect and stress sensible electronic loads. …”
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Simultaneous Learning Knowledge Distillation for Image Restoration: Efficient Model Compression for Drones by Yongheng Zhang

“…Experimental evaluations across five benchmark datasets and three restoration tasks—deraining, deblurring, and dehazing—demonstrate that, compared to the teacher models, the SLKD student models achieve an average reduction of 85.4% in FLOPs and 85.8% in model parameters, with only a slight average decrease of 2.6% in PSNR and 0.9% in SSIM. …”
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Enhancing Mass Transport in Organic Redox Flow Batteries Through Electrode Obstacle Design by Joseba Martínez-López, Unai Fernández-Gamiz, Eduardo Sánchez-Díez, Aitor Beloki-Arrondo, Íñigo Ortega-Fernández

“…Notably, Case 2 performed better at lower flow rates, showcasing its potential to optimize efficiency under varying operating conditions. At higher flow rates, the advantages of Case 2 diminished but remained evident, with better concentration uniformity, higher minimum concentration values, and a 1% average increase in limiting current density. …”
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An approach to predicting the properties of software vulnerabilities by Sergey A. Budnikov, Mikhail A. Tarelkin, Yuri K. Yazov

“…When constructing systems of Kolmogorov equations, the dynamics of changes in the average intensity of changes in the values of basic metrics, depending on the current time, was taken into account. …”
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Donation after circulatory death heart transplantation using normothermic regional perfusion:The NYU ProtocolCentral MessagePerspective by Les James, MD, MPH, V. Reed LaSala, MD, Fredrick Hill, RN, CCP, Jennie Y. Ngai, MD, Alex Reyentovich, MD, Syed T. Hussain, MD, Claudia Gidea, MD, Greta L. Piper, MD, Aubrey C. Galloway, MD, Deane E. Smith, MD, Nader Moazami, MD

“…The average beginning hemoglobin was 6.8 ± 0.7 g/dL, and the average end hemoglobin was 8.2 ± 1.3 g/dL (P<.001) . …”
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Novel Cross-Type Network for Wide-Tuning-Range Reconfigurable Multiband Antennas by Chieh-Sen Lee, Chi-Lin Tsai, Chin-Lung Yang

“…The average bandwidths at fL and fH are approximately 50 MHz and 148 MHz, respectively, implying narrowband operation. …”
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Features of Forecasting Reliability of 6—10 kV Overhead Lines According to Statistics of their Failures and Reconditionings by Basmanov V.G.

“…Unlike the accepted in the theory of reliability the availability function with two parameters (average times of work and reconditionings), the proposed expression uses one parameter of distribution (virtual non-failure operating time). …”
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Modeling of Cr²⁺-Doped Saturable-Absorber Q-Switched Tm:CaF₂ Lasers by Mofan Yang, Ziyi Wu, Jinhe Yuan

“…Under the mode-matching condition, this model can be used to easily determine the PQS laser’s main output parameters, including the average output power, repetition frequency, peak power, pulse energy, and pulse width. …”
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Implementation and analysis of EMQX broker for MQTT protocol in the Internet of Things by Monika Kashyap, Ansh Kumar Dev, Vidushi Sharma

“…Further, broker selection is the foremost task in operating the MQTT-based algorithms used in the automation. …”
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Malicious software identification based on deep learning algorithms and API feature extraction by Wei Sun

“…Abstract With the popularization of mobile Internet, the Android operating system has become the main target of malware attacks because of its openness. …”
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Enhanced Control of Polymer Electrolyte Membrane Fuel Cell Fed Basic Series Positive Super Voltage Lift Luo Converter Using Interval Type-2 Fuzzy Logic by Ahmet Gani, İlknur Uçar

“…The simulation study results demonstrated that the PEM fuel cell fed basic series PSVLL converter reached optimal current and voltage values with IT2TSKFL under nominal and different operating conditions. Moreover, IT2TSKFL improved average settling time of control system by 22.335% compared to T1TSKFL controller.…”
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Study on Transient Total Heat B-G Model of Air Supply in Large Space during Summer by Huang Chen, Zhu Jiyang, Yang Tong, Wang Fei, Zou Zhijun, Fan Qianhong, Miao Yufeng

“…Combined with the diffusion characteristics of the indoor moisture, the transient full-heat six-zone Block-Gebhart (B-G) model was established under summer operating conditions. The results showed that the average absolute errors were between 0.44-1.12 ℃ and 0.63-1.96 ℃, in terms of the differences between the predicted and experimental values of the air and wall temperatures in the four regions above ground level, respectively, while the indoor air enthalpy was 1.85-1.96 kJ/kg. …”
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Entropy Production and Filling Time in Hydrogen Refueling Stations: An Economic Assessment by Bruno F. Santoro, David Rincón, Diego F. Mendoza

“…Maximum entropy production savings with respect to SAE J2601 (7% for 10 °C, 1% for 40 °C) demand a longer filling time that increases with ambient temperature (264% for 10 °C, 350% for 40 °C). Considering average electricity prices in California, USA, the operating cost of the filling process can be reduced between 8 and 28% without increasing the expected filling time.…”
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Modelling Municipal Cost Inefficiencies in the Frances Baard District of South Africa and Their Impact on Service Delivery by Brian Tavonga Mazorodze

“…Second, service delivery is found to have been 23% lower than its potential. Third, operating costs and contracted services are found to have been key drivers of wasteful expenditure. …”
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Lightweight anomaly detection model for UAV networks based on memory-enhanced autoencoders by HU Tianzhu, SHEN Yulong, REN Baoquan, HE Ji, LIU Chengliang, LI Hongjun

“…The message queue based on the operating system was used for data packet caching to achieve persistent processing of high-speed data streams, which effectively improved the stability and reliability of the model. …”
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Comparison of Forecasting Performance of ARIMA LSTM and HYBRID Models for The Sales Volume Budget of a Manufacturing Enterprise by Ayşe Soy Temür, Şule Yıldız

“…This study aims to create a monthly sales quantity budget by making use of the previous income data of an enterprise operating within the construction sector, which is considered the locomotive of the economy. …”
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Online identification of cascading event sequences in power systems using deep learning by Georgios A. Nakas, Panagiotis N. Papadopoulos

“…The proposed framework takes into account uncertainties associated with network operating conditions, contingencies and renewable generation. …”
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Research on online inspection of pantograph and catenary based on deep learning by ZHOU Zhaoan, LI Shuzhi

“…The pantograph-catenary system is a key part of power supply for electric locomotive, and its operating status determines the current receiving quality of electric locomotive, as well as safety and efficiency of trains. …”
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