Hybrid subQUBO Annealing With a Correction Process for Multi-Day Intermodal Trip Planning by Tatsuya Noguchi, Keisuke Fukada, Siya Bao, Nozomu Togawa

“…Quantum annealers have recently been explored as a powerful tool for solving combinatorial optimization problems by converting the problems into Quadratic Unconstrained Binary Optimization (QUBO). …”
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Development of a new solar system integrating photovoltaic and thermoelectric modules with paraffin-based nanomaterials by A. M. Alinia, M. Sheikholeslami

“…The PV module is also integrated with a TEG (thermoelectric generator) to capture excess thermal energy and convert it into additional electrical power, allowing for a more efficient overall system. …”
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Interval combined prediction of mine tunnel's air volume considering multiple influencing factors. by Zhen Wang, Erkan Topal, Liangshan Shao, Chen Yang

“…In this paper, to accurately measure the mine tunnel air volume, the tunnel air volume, and related ventilation parameters are consistently monitored, and the real monitoring data is converted to interval numbers for representation. These interval numbers are then preprocessed using an Interval-type Complete Ensemble Empirical Mode Decomposition with Adaptive Noise(In-CEEMDAN) to extract the essential features of the data. …”
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Optimizing the Extraction of Keratin from Cattle Hoof Using Central Composite Design by Kelem Tiessasie Yilma, Tamrat Tesfaye, Haymanot Enawgaw, Million Ayele, Derseh Yilie Limeneh, Magdi Gibril, Fangong Kong

“…It can be successfully converted into keratin protein. Keratin extracted using alkali hydrolysis has a better conservancy of keratin structure. …”
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Design and Analysis of Enhanced Phase-Locked Loop: Methods of Lyapunov and Natural Gradient by Shafayat Abrar, Muhammad Mubeen Siddiqui, Azzedine Zerguine

“…The phase-locked loop (PLL) plays a crucial role in modern power systems, primarily for estimating line voltage parameters and tracking variations needed to synchronize and control grid-connected power converters. The enhanced phase-locked loop (EPLL) builds upon the standard PLL by tracking sinusoidal signal amplitude. …”
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Biodegradation of azo dyes by Aspergillus flavus and its bioremediation potential using seed germination efficiency by Amira M. Ghanaim, Omima M. El Mahdy, Heba I. Mohamed

“…The recent attention to effectively utilizing microbes to convert toxic industrial azo dyes into non-hazardous compounds has garnered significant attention. …”
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Simulation of Vertical Thin-Film Solar Battery under Exposure of Concentrated Solar Radiation by A. K. Esman, G. L. Zykov, V. A. Potachits, V. K. Kuleshov

“…Solar energy is one of the most important and promising energy sectors in the world. Batteries that convert sunlight into electrical energy could become a replacement for traditional carbon-based energy sources. …”
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Feasibility Study of PV-Wind-Fuel Cell Hybrid Power System for Electrification of a Rural Village in Ethiopia by Mikias Hailu Kebede, Getachew Bekele Beyene

“…Hence, when there is shortage, first the battery discharges to fulfill the load demand and if the battery reaches to its allowable minimum capacity, it will stop further discharging and the fuel cell will operate so as to convert the stored hydrogen into electricity. In the result, different feasible alternative solutions have been obtained with a narrow range of COE which are better than the previously studied PV-wind-Genset hybrid set ups.…”
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RESIDENTS’ COMPLIANCE WITH BUILDING SETBACKS IN IBADAN NORTH LOCAL GOVERNMENT AREA OF OYO STATE, NIGERIA by ADEJUMO, S. A., FATIMAH O. BADIRU

“…The majority of the setbacks that were converted to other uses in low residential areas was used for security post (81.6%) while the largest proportion (35.4%) in medium and high-density areas (15.7%) were used for shop construction. …”
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Application of Remote Sensing Image Data Scene Generation Method in Smart City by Yuanjin Xu

“…This paper uses POV ray photon reverse tracking software to simulate the imaging process of remote sensing sensors, coordinate transformation is used to convert a triangle text file to POV ray readable information and input the RGB value of the base color based on the colorimetry principle, and the final 3D scene is visualized. …”
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Joint Frequency Stabilisation in Future 100% Renewable Electric Power Systems by Lisanne Reese, Arne Rettig, Clemens Jauch, Richard Johannes Domin, Tom Karshüning

“…By using grid-forming frequency converters, a large potential of alternative frequency stabilisation reserves can be tapped. …”
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PHYSICAL FIELDS OF CIRCULAR CYLINDRICAL PIEZOCERAMIC RECEIVER IN PRESENCE OF A FLAT ACOUSTIC SOFT SCREEN by A. V. Derepa, A. G. Leiko, O. N. Pozdniakova

“…The design model of the «transducer–creen» system was formulated taking into account the interaction of acoustic, mechanical and electric fields in the process of energy conversion, the interaction of a cylindrical transducer with a flat screen and the interaction of a converter with elastic media outside and inside it. …”
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Scintillator based nuclear photovoltaic batteries for power generation at microwatts level by Ibrahim Oksuz, Sabin Neupane, Yanfa Yan, Lei R. Cao

“…A nuclear photovoltaic battery uses scintillator to convert radiation into visible light, which is then collected by a photovoltaic (PV) cell to generate electricity. …”
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Retracted: Target Recognition Method of Rehabilitation Robot Based on Image Local Features by Xing Li, Tianbao Wu

“…Finally, the Harris algorithm is used to convert the predetermined image set into a grayscale image, and the Gaussian distribution is used uniformly to determine the location and proportion of the feature points, and extract the corresponding image. …”
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About a concept of creating a social network users information aggregation and data processing system by L. V. Rudikova, O. R. Myslivec

“…To do this, the system has a module for collecting and converting information from third-party Internet sources and sending them to the database. …”
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Encrypted traffic classification method based on convolutional neural network by Rongna XIE, Zhuhong MA, Zongyu LI, Ye TIAN

“…Aiming at the problems of low accuracy, weak generality, and easy privacy violation of traditional encrypted network traffic classification methods, an encrypted traffic classification method based on convolutional neural network was proposed, which avoided relying on original traffic data and prevented overfitting of specific byte structure of the application.According to the data packet size and arrival time information of network traffic, a method to convert the original traffic into a two-dimensional picture was designed.Each cell in the histogram represented the number of packets with corresponding size that arrive at the corresponding time interval, avoiding reliance on packet payloads and privacy violations.The LeNet-5 convolutional neural network model was optimized to improve the classification accuracy.The inception module was embedded for multi-dimensional feature extraction and feature fusion.And the 1*1 convolution was used to control the feature dimension of the output.Besides, the average pooling layer and the convolutional layer were used to replace the fully connected layer to increase the calculation speed and avoid overfitting.The sliding window method was used in the object detection task, and each network unidirectional flow was divided into equal-sized blocks, ensuring that the blocks in the training set and the blocks in the test set in a single session do not overlap and expanding the dataset samples.The classification experiment results on the ISCX dataset show that for the application traffic classification task, the average accuracy rate reaches more than 95%.The comparative experimental results show that the traditional classification method has a significant decrease in accuracy or even fails when the types of training set and test set are different.However, the accuracy rate of the proposed method still reaches 89.2%, which proves that the method is universally suitable for encrypted traffic and non-encrypted traffic.All experiments are based on imbalanced datasets, and the experimental results may be further improved if balanced processing is performed.…”
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Radio- and Power-Over-Fiber Integration for 6G Networks: Challenges and Future Prospects by Leticia Carneiro de Souza, Victoria Dala Pegorara Souto, Arismar Cerqueira Sodre

“…., high-power laser diode (HPLD), optical fiber, and photovoltaic power converter (PPC), highlighting their key features, performance metrics, and design considerations. …”
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Accelerating antimicrobial peptide design: Leveraging deep learning for rapid discovery. by Ahmad M Al-Omari, Yazan H Akkam, Ala'a Zyout, Shayma'a Younis, Shefa M Tawalbeh, Khaled Al-Sawalmeh, Amjed Al Fahoum, Jonathan Arnold

“…In the second method, these fundamental peptide features are converted into signal images, which are then transmitted to a deep learning neural network. …”
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Adaptive Frequency Regulation of Doubly-Fed Pumped Storage Unit Considering Speed and Power Limit by LAO Wenjie, SHI Linjun, WU Feng, YANG Dongmei, LI Yang

“…First, based on the dynamic model of the unit considering reversible pump turbine, the frequency regulation modules are built, in which the frequency deviation is converted to additional power command in generating mode but to additional speed command in pumping mode. …”
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Deep Learning Algorithm Analysis of Potato Disease Classification for System on Chip Implementation by John Adebisi, Sesham Srinu, Varqa Mitonga

“…Subsequently the model was converted to Hardware Description Language (HDL) using Vitis High level synthesis (HLS) tool performance in terms of resources required to implement the model in System on Chip (SoC) was analysed. …”
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