A novel mechanism-guided residual network for accurate modelling of scroll expander under noisy and sparse data conditions by Xiaoshuang Lv, Xin Ma, Wei Peng, Ke Li, Chengdong Li

“…Then, a hybrid optimization algorithm is detailed, which can achieve efficient and accurate updating of the parameters of the network and mechanistic equations. …”
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Research on leaf identification of table grape varieties based on deep learning by PAN Bowen, LIN Meiling, JU Yanlun, SU Baofeng, SUN Lei, FAN Xiucai, ZHANG Ying, ZHANG Yonghui, LIU Chonghuai, JIANG Jianfu, FANG Yulin

“…[Objective] With the continuous development of grape varieties, problems such as variety confusion and inaccurate identification would occur in the actual production and scientific research work, and accurate identification of grape varieties has become more and more difficult It is urgent to explore a nondestructive, efficient and environment-friendly identification method. …”
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Disinfection of Surfaces Contaminated with SARS-CoV-2 Coronavirus by UV Radiation of Low-Pressure Mercury-Vapour Lamp by D. N. Masyakin, A. E. Alferov, S. G. Kikot’, I. A. Androshchuk, V. B. Kirillov, S. L. Kirillova, E. A. Koval’chuk, M. A. Kotov, V. А. Lopota, I. G. Rudoy, N. G. Solov’ev, A. M. Soroka, V. V. Trufanova, N. Ya. Chepurenkov, A. N. Shemyakin, M. Yu. Yakimov, S. V. Borisevich

“…The aim of the work was to determine the effective ultraviolet (UV) doses required for the disinfection of surfaces contaminated with the SARS-CoV-2 coronavirus using a low-pressure mercury lamp. Materials and methods. To carry out prompt disinfection of surfaces, a specially designed source of UV radiation with a power of 7.5 W at a wavelength of 254 nm in the form of a portable flashlight was employed, which has a high efficiency of UV radiation output and the possibility of long-term autonomous operation from a compact battery. …”
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A supervised machine-learning analysis of doxorubicin-loaded electrospun nanofibers and their anticancer activity capabilities by Mohammadreza Rostami, Mohammadreza Rostami, Maliheh Gharibshahian, Maliheh Gharibshahian, Mehrnaz Mostafavi, Ali Sufali, Mahsa Golmohammadi, Mohammad Reza Barati, Reza Maleki, Nima Beheshtizadeh, Nima Beheshtizadeh

“…The study also determined the significance coefficient of each parameter that influences the output results and identified the optimum points and intervals for each parameter. …”
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A transfer learning based deep neural network adaptive controller for the Furuta pendulum subject to uncertain disturbance signals by Firat Can Yilmaz, Recep Onler, Enver Tatlicioglu, Erkan Zergeroglu

“…Numerical simulations validate the robustness, adaptability, and improved efficiency of the proposed control method, demonstrating its potential for real-time implementation in uncertain and dynamic environments.…”
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Modelling the Performance of Photovoltaic Systems and Studying the Soiling Effects: Insights Based on Field Data of Environmental Factors of Solar Panel Systems by Ali Al Humairi, Zuhair A. Al Hemyari, Hayat El Asri, Peter Jung

“…The research identifies the strengths and limitations of these modeling techniques for an accurate forecast of energy output under various scenarios. The comparative analysis highlights the precision and reliability of each regression method and offers actionable insights into their practical implementation. …”
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Implementation of Power Factor Correction using Asynchronous Boost Converter on Single Phase Full-Bridge Diode by Masramdhani Saputra, Imron Ridzki, Sigit Setya Wiwaha, Saddani Djulihenanto

“…Therefore, in this study an asynchronous dc dc boost converter is connected to the output side of a single phase diode rectifier which is capable of improving power factor and low harmonics. …”
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Robust Optimization of Active Distribution Networks Considering Source-Side Uncertainty and Load-Side Demand Response by Renbo Wu, Shuqin Liu

“…Aiming to solve optimization scheduling difficulties caused by the double uncertainty of source-side photovoltaic (PV) output and load-side demand response in active distribution networks, this paper proposes a two-stage distribution robust optimization method. …”
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Multi-Physics and Multi-Objective Design of an Axial Flux Permanent Magnet-Assisted Synchronous Reluctance Motor for Use in Electric Vehicles by Emre Gözüaçık, Mehmet Akar

“…The AF-Pma-SynRM design has achieved 95.6 Nm of torque, 30 kW of power, and 93.8% efficiency at a 3000 rpm rated speed. The motor exhibits a maximum speed of 10,000 rpm, 253.1 Nm of torque, and 65 kW of output power. …”
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The Impact of Wafters on the Thermal Properties and Performance of In-Wheel Motor by Muhammad Hasan Albana, Ary Bachtiar Khrisna Putra, Harus Laksana Guntur

“…This research offers a new cooling method to cool the IWM. The system consists of wafters mounted on the housing of the IWM. …”
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Convolutional neural network model over encrypted data based on functional encryption by Chen WANG, Jiarun LI, Jian XU

“…Currently, homomorphic encryption, secure multi-party computation, and other encryption schemes are used to protect the privacy of sensitive data in outsourced convolutional neural network (CNN) models.However, the computational and communication overhead caused by the above schemes would reduce system efficiency.Based on the low cost of functional encryption, a new convolutional neural network model over encrypted data was constructed using functional encryption.Firstly, two algorithms based on functional encryption were designed, including inner product functional encryption and basic operation functional encryption algorithms to implement basic operations such as inner product, multiplication, and subtraction over encrypted data, reducing computational and communication costs.Secondly, a secure convolutional computation protocol and a secure loss optimization protocol were designed for each of these basic operations, which achieved ciphertext forward propagation in the convolutional layer and ciphertext backward propagation in the output layer.Finally, a secure training and classification method for the model was provided by the above secure protocols in a module-composable way, which could simultaneously protect the confidentiality of user data as well as data labels.Theoretical analysis and experimental results indicate that the proposed model can achieve CNN training and classification over encrypted data while ensuring accuracy and security.…”
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New multiple access and waveform technology for 6G by Hua LI, Shiya HAO, Caihong GONG, Qianqian LI, Xiaoming DAI

“…With the explosive growth of Internet devices, the 5G new radio (NR) system faces congestion and high latency issues due to the low access efficiency of traditional orthogonal multiple access (OMA).Besides this, the performance of the orthogonal frequency-division multiplexing (OFDM)-based system is severely degraded due to the Doppler effect in high-speed scenarios.To meet the low-latency, high-reliability, and massive connection requirements of 6G communication in high-mobility scenarios, firstly, a novel orthogonal time frequency space (OTFS)-based pattern division multiple access (PDMA) scheme, shortened as OTFS-PDMA, was proposed.Then, the system input-output relationship of different types of PDMA codeword allocation schemes in the delay-Doppler (DD) domain was derived.Finally, a low-complexity expectation propagation algorithm (EPA)-based receiver was proposed.Simulation results illustrate that the proposed OTFS-PDMA scheme achieves significant performance gains over the conventional OTFS-OMA scheme.For regular PDMA patterns, the PDMA codeword allocation has a slight impact on the system performance.For irregular patterns, the centralized spreading method outperforms the discrete one.For discrete spreading scheme, the system can achieve better performance by assigning irregular PDMA spread signals along the Doppler direction.In addition, the proposed EPA receiver outperforms its conventional counterparts.…”
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The dialogic presentation as a more compassionate approach by Laura Dyer

“…As a result, the dialogic presentation has the potential to increase the quality of the presentation experience and the output. The dialogic presentation was presented clearly and efficiently through Pecha Kucha, highlighting the simplicity of the activity and its use in teaching and learning. …”
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Analisis Kualitas Website Alumni Stikom Bali Menggunakan Metode Webqual by Putu Linda Santiari, I Gede Surya Rahayuda

“…In this research using Webqual method to measure quality of information and quality of interaction. …”
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Synergistic effect of transport services compatible to loads by Andrii Galkin

“…The result of the integration process may be a synergistic effect, if the possibility of increasing the efficiency of the logistics system by strengthening mutual ties of a logistic system and supply chain to another or from the environment at the input and output of material and information flows .The issues of supply chain integration and synergy. …”
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Research on the Operation and Control Strategy of Onboard Power Supply Converter in DC-grid Hybrid Ship by HONG Xuewu, DENG Jianhua, YAO Tao, LEI Liming, CHEN Jian, ZHANG Meiling

“…Aiming at multi-operation-mode and control strategy of the onboard daily load power supply converter, a method of positive and negative sequence-dividing control under dq synchronous rotating coordinate is proposed which can ensure that output voltage of the three-phase power supply converter is balanced even with single-phase load, the negative sequence reference is constructed through coordinate transformation without digital low-pass filter. …”
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Diffraction-Based Overlay Metrology With Optical Convolution Layer by Jinyang Li, Hung-Fei Kuo

“…In response to existing challenges in DBO metrology, this study applied the concept of optical computing to establish a DBO metrology with an optical convolution layer that can predict the overlay of a DBO target, thereby providing a promising measurement method that increases the intuitiveness and efficiency of overlay metrology. …”
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Soft terrain CFD simulation for tracked vehicles by Luca Piancastelli, Luca Raboni, Christian Leon-Cardenas

“…In this way, a CFD simulation can be carried out. This process will output the true sinkage, the hull position and the power required.…”
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A Deep Learning Approach for General Aviation Trajectory Prediction Based on Stochastic Processes for Uncertainty Handling by Houru Hu, Ye Yuan, Qingwen Xue

“…This paper proposes a deep learning method based on stochastic processes aimed at addressing uncertainty issues in general aviation trajectory prediction. …”
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MODELLING PERCEPTION AND ECONOMIC PERFORMANCE OF TEAK (TECTONA GRANDIS) PRODUCTION IN RURAL PLANT NURSERIES OF BENIN REPUBLIC by Yann Emmanuel MIASSI, Fabrice Kossivi DOSSA, Patrice Ygué ADEGBOLA, Anselm Anibueze ENETE, Şinasi AKDEMIR

“…To this end, a survey was conducted among 140 teak nurseries in northern, central and southern regions of Benin using the "snowball" sampling method. Interviews organized with plant nurserymen served to gather data on their demographic and socio-economic characteristics, plant production techniques, production costs and output, and teak production perception. …”
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