High‐Efficiency Optoelectronic Modulation in Quasi‐2D Perovskite‐Based Transistors for Neuromorphic Computing by Wenwen Wang, Yao Li, Jiangdong Zhang, Menghan Chen, Jia Liu, Jiahao Kang, Jinjin Zhao

“…Abstract Optoelectronic modulated transistors based on organic–inorganic halide perovskites can perceive and parse visual information, making them appealing for neuromorphic computing or future vision automation owing to their abundant and tunable optoelectronic properties, high quantum efficiency, and large specific surface area. …”
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Data-driven modeling of the Yld2000 yield criterion and its efficient application in numerical simulation by Xiaomin Zhang, Jianzhong Mao, Zhi Cheng

“…Compared with traditional analytical computations, the RF-based model achieves approximately a 50 % improvement in computational efficiency while maintaining comparable accuracy, with a maximum error of <0.5 % across different materials and tolerance conditions. …”
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Evaluating urban network efficiency and safety impacts of connected and autonomous vehicles in complex city environments by Nick Sauciur, Amirarsalan Mehrara Molan, Soheil Sajjadi, Bernice Liu, Anurag Pande

“…Ultimately, understanding the dynamic interactions between CAVs and human-driven vehicles (HVs) and other multimodal traffic is essential for developing effective strategies that promote sustainable and efficient urban mobility.…”
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Physics-Informed Deep Neural Network for Low Sidelobe Time-Modulated Antenna Array Synthesis With Harmonic Suppression by Tarek Sallam, Qun Wang, Ahmed M. Attiya

“…This paper introduces an innovative approach utilizing a deep neural network (DNN) to optimize the modulation scheme for time-modulated antenna array (TMAA) to verify specific side lobe and maximum harmonics levels. The proposed method involves training a DNN with a physics-informed loss function designed to reduce the discrepancy between the desired and actual beam patterns. …”
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A secure and size efficient algorithm to enhance data hiding capacity and security of cover text by using unicode by Allah Ditta, Muhammad Azeem, Shahid Naseem, Khurram Gulzar Rana, Muhammad Adnan Khan, Zafar Iqbal

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A Method of the Vibration Information Detection for Rotating Machinery Based on the Rolling-Shutter CMOS and Digital Image Processing by Yonggong Yuan, Ji Zhang, Nanwangdi Li, Haifeng Wang, Yuxin Hu, Yilong Wang, Ning Mei, Han Yuan

“…It is crucial to develop precise, fast, cost-effective, and reliable technology for monitoring the condition of rotating machinery and diagnosing faults to ensure industrial production efficiency and safety. The study investigates non-contact vibration information acquisition and fault diagnosis methods. …”
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An Underground Goaf Locating Framework Based on D-InSAR with Three Different Prior Geological Information Conditions by Kewei Zhang, Yunjia Wang, Feng Zhao, Zhanguo Ma, Guangqian Zou, Teng Wang, Nianbin Zhang, Wenqi Huo, Xinpeng Diao, Dawei Zhou, Zhongwei Shen

“…Subsequently, field validation was carried out by applying two different non-linear deformation function models, Probability Integral Model (PIM) and Okada Dislocation Model (ODM), with three different prior geological information conditions. The quantitative performance results indicate that, (1) under a detailed prior information condition, PIM achieves enhanced dimensional parameter estimation accuracy with 6.9% reduction in maximum relative error; (2) in a moderate prior information condition, both models demonstrate comparable estimation performance; and (3) for a limited prior information condition, ODM exhibits superior parameter estimation capability showing 3.4% decrease in maximum relative error. …”
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Electronic structure and defect states in bismuth and antimony sulphides identified by energy-resolved electrochemical impedance spectroscopy by Daria Miliaieva, Vojtech Nadazdy, Mykhailo Koltsov, Cibrán López, Hanieh Saeeyekta, Jaroslav Kuliček, Claudio Cazorla, Edgardo Saucedo, Raitis Grzibovskis, Aivars Vembris, Malle Krunks, Bohuslav Rezek, Nicolae Spalatu

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Relevance-Based Reconstruction Using an Empirical Mode Decomposition Informer for Lithium-Ion Battery Surface-Temperature Prediction by Chao Li, Yigang Kong, Changjiang Wang, Xueliang Wang, Min Wang, Yulong Wang

“…Accurate monitoring of lithium-ion battery temperature is essential to ensure these batteries’ efficient and safe operation. This paper proposes a relevance-based reconstruction-oriented EMD-Informer machine learning model, which combines empirical mode decomposition (EMD) and the Informer framework to estimate the surface temperature of 18,650 lithium-ion batteries during charging and discharging processes under complex operating conditions. …”
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Experimental Study of an Efficient, High Power and Tunable Continuous-Wave CO₂ Laser by Lijie Geng, Shuaifei Song, Kun Yang, Pengji Yan, Zhenxiang Fu, Yanchen Qu, Ruiliang Zhang, Zhifeng Zhang

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Monopotassium maleate salt stabilizes SnO2 colloid solution for efficient perovskite solar cells by Xiaoxuan Liu, Derun Sun, Huande Sun, You Gao, Fumeng Ren, Rui Chen, Xin Meng, Siqi Zhang, Wei Chen, Zonghao Liu

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Enhancing Multi-Key Fully Homomorphic Encryption with Efficient Key Switching and Batched Multi-Hop Computations by Liang Zhou, Ruwei Huang, Bingbing Wang

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SPATIALLY INFORMED INSIGHTS: MODELING PERCENTAGE POVERTY IN EAST JAVA PROVINCE USING SEM WITH SPATIAL WEIGHT VARIATIONS by Ashabul Akbar Maulana, Achmad Fauzan

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Semantic Segmentation of Aerial Laser Point Clouds Based on Deep-Residual Enhanced Coding of Multi-Feature Information by Xin Luo, Peng Lin, Xiaoxi Li, Zuqi Wei, Hai Li

“…Firstly, a more efficient network structure to enhance geometric information encoding is constructed, called the GEO–PointNet layer. …”
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A Decentralized Fuzzy C-Means-Based Energy-Efficient Routing Protocol for Wireless Sensor Networks by Osama Moh’d Alia

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Synthesis of novel high-entropy diborides with high-efficiency electromagnetic wave absorption and excellent thermal stability by Chencheng Liu, Qingyun Chen, Peng Sun, Xingye Wang, Shuyi Zeng, Qijie Chen, Tong Zhu, Yi Zhu, Wenlong Zhang, Hui Song, Yuezhong Wang, Kazuhito Nishimura, Huasong Liu, Nan Jiang

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Kernel type-based entries are efficient to develop a core collection of maize (Zea mays L.) by Jae-Han Son, Seongmin Hong, Ji Won Kim, Jiyun Go, Junyong Choi, Sang-Bum Lee, Jun Young Ha, Young-Sam Go, Hwan-Hee Bae, Tae-Wook Jung, Gibum Yi

“…Abstract A core collection, a minimized set of germplasm representing maximum genetic diversity, is useful for breeding and genetic studies. …”
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Efficient Swell Risk Prediction for Building Design Using a Domain-Guided Machine Learning Model by Hani S. Alharbi

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An Effective AFNIS-MPPT-Based Method for Optimizing Hybrid Energy Harvesting Systems by Muhammad Saqib, Ghulam Sarwar Kaloi, Mehr Gul, Muhammad Shahzad Nazir, Mohsin Ali Koondhar, Lutfi Albasha, Faisal Alsaif

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Long distance calls: Negligible information loss of little auk social vocalisations due to high frequency propagation losses. by Anna N Osiecka, Przemysław Bryndza, Elodie F Briefer, Katarzyna Wojczulanis-Jakubas

“…To assess the efficiency of information transfer in little auk (Alle alle, an Arctic seabird) calls over distance, we selected two of the social call types with the highest potential for individuality coding. …”
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