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An efficient deep learning model for early disease detection in vegetable crops

Neural Computing and Applications 2025年 1-20页

作者： Bhola, Amit Kumar, Prabhat School of Computer Science and Engineering Sharda University Greater Noida201310 India Department of Computer Science and Engineering National Institute of Technology Patna Bihar Patna800005 India

Plant diseases significantly threaten global food security and economic stability by reducing crop yields, increasing production costs, and exacerbating food shortages. Early and precise detection of plant diseases is essential for mitigating these risks. This study introduces a lightweight deep learning model for early and efficient disease detection in key vegetable crops, including eggplant, potato, tomato, and soybean. The model leverages a comprehensive dataset containing 23 classes of healthy and diseased plant images. With only 388,055 parameters and a model size of 1.48 MB, it achieves an impressive accuracy of 92.75%, outperforming 17 state-of-the-art deep learning models in terms of performance, efficiency, and size. The novelty lies in the model’s compact architecture, making it highly suitable for deployment in resource-constrained environments such as mobile and edge devices. The primary objective is to provide a scalable and cost-effective solution for early disease detection to enhance agricultural productivity. The findings underscore the model’s superiority over traditional methods and emphasize its potential for real-world applications in smart and sustainable agriculture systems. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.

关键词： Smart agriculture

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High-performance diffusion model for inverse design of high Tc superconductors with effective doping and accurate stoichiometry

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InfoMat 2024年第5期6卷 110-122页

作者： Chengquan Zhong Jingzi Zhang Yuelin Wang Yanwu Long Pengzhou Zhu Jiakai Liu Kailong Hu Junjie Chen Xi Lin School of Materials Science and Engineering Harbin Institute of TechnologyShenzhenGuangdongthe People's Republic of China Blockchain Development and Research Institute Harbin Institute of TechnologyShenzhenGuangdongthe People's Republic of China Sunrise(Xiamen)Photovoltaic Industry Co. LtdXiamen CityFujian Provincethe People's Republic of China State Key Laboratory of Advanced Welding and Joining Harbin Institute of TechnologyHarbinHeilongjiangthe People's Republic of China School of Computer Science and Technology Harbin Institute of TechnologyShenzhenGuangdongthe People's Republic of China

The pursuit of designing superconductors with high Tc has been a long-standing ***,the widespread incorporation of doping in high Tc superconductors significantly impacts electronic structure,intricately influencing *** complex interplay between the structural composition and material performance presents a formidable challenge in superconductor *** on a novel generative model,diffusion model,and doping adap-tive representation:three-channel matrix,we have designed a high Tc super-conductors inverse design model called *** has achieved remarkable success in accurately generating chemical formulas for doped high Tc ***-Diffusion is capable of generating superconduc-tors that exhibit high Tc and excels at identifying the optimal doping ratios that yield the peak *** doping effectiveness(55%)and electrical neutrality(55%)of the generated doped superconductors exceed those of traditional GAN models by more than *** of state calculations on the structures further confirm the validity of the generated ***,we have proposed 200 potential high Tc superconductors that have not been documented *** groundbreaking contribution effectively reduces the search space for high Tc ***,it successfully establishes a bridge between the interrelated aspects of composition,structure,and prop-erty in superconductors,providing a novel solution for designing other doped materials.

关键词： diffusion model generative model high Tc superconductors inverse design machine learning

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First-principles investigation of adhesion strength and interfacial bonding in Mg/X(X=Ti,Zr,Hf,V,Nd,Cr,Mo,Mn,and Fe)interface

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Journal of Magnesium and Alloys 2025年第1期13卷 83-89页

作者： Longke Bao Zhifu Yao Yuhui Zhang Cuiping Wang Kaihong Zheng Rongpei Shi Xingjun Liu Fusheng Pan State Key Laboratory of Advanced Welding and Joining Harbin Institute of TechnologyShenzhen 518055China College of Materials Science and Engineering and Institute of Materials Genome and Big DataHarbin Institute of TechnologyShenzhen 518055China Institute of New Materials Guangdong Academy of SciencesGuangzhou 510650China College of Materials Science and Engineering Xiamen UniversityXiamen 361005China College of Materials Science and Engineering Chongqing UniversityChongqing 400045China

Magnesium alloys have gained extensive applications across various industries,including aerospace,transportation,and civil construction,owing to their excellent combinations of high specific strength and stiffness[1].However,their lim-ited strength due to the lack of effective strengthening phases has hindered their broader industrial applications[2].Never-theless,it has been challenging to achieve significant strength-ening due to the restricted solubility of alloying elements in magnesium[3].Thus,more and more efforts have been made to explore the concept of secondary phase-reinforced magne-sium alloys[2,4,5],where the secondary phase acts as re-inforcing agents within the magnesium matrix,resembling a composite material.

关键词： adhesion strength interfacial bonding aluminum alloys industrial applications solubility strengthening phases alloying elements Mg X interfaces

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Design of a ML-based trust prediction model using intelligent TrustBoxes in challenged networks

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International Journal of Systems, Control and Communications 2024年第3期15卷 209-234页

作者： Barai, Smritikona Kundu, Anindita Bhaumik, Parama Department of Computer Science and Engineering Heritage Institute of Technology Kolkata India Department of Software Systems School of Computer Science and Engineering Vellore Institute of Technology Tamil Nadu India Department of Information Technology Jadavpur University Kolkata India

Challenged networks (CNs) contain resource-constrained nodes deployed in regions where human intervention is difficult. Opportunistic networks (OppNets) are CNs with no predefined source-to-destination paths. Due to their inherent properties, CNs and OppNets are highly susceptible to black-hole (BH) attacks, resulting in degraded packet-delivery ratio. In this work, an ML-based trust prediction model (MLTPM) is proposed to identify potential BH nodes in OppNets. MLTPM uses a novel function to calculate the total-trust-value (TTV) of each node. Intelligent TrustBoxes are introduced in the network to identify possible BH nodes, using TTV, along with five more node-behaviour features. TrustBoxes reduce the computational overhead of the resource-constrained nodes. Three simulated scenarios are compared - no detection, non-ML-based detection, and MLTPM, each using epidemic, prophet, and spray-and-wait routing protocols. MLTPM performs best with spray-and-wait, exhibiting about 25.21% and 80% mean improvement in delivery-ratio and dropped-message numbers respectively, compared to non-ML-based detection. An overall 12.62% improvement in delivery-ratio and 26.7% improvement in dropped messages is observed using MLTPM, compared to the above-mentioned scenarios. © 2024 Inderscience Enterprises Ltd.

关键词： HTTP

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A universal approach to high-performance thermoelectric module design for power generation (vol 9, 101818, 2025)

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JOULE 2025年第4期9卷

作者： Cheng, Jinxuan Xue, Wenhua Zhang, Tianyu Li, Xiaofang Zhu, Yichen Yin, Li Yao, Honghao Fu, Zixuan Wu, Longzhi Chen, Chen Zhao, Peng Ma, Xiaojing Jiang, Feng Wang, Xiaodong Li, Mingyu Mao, Jun Wang, Yumei Cao, Feng Zhang, Qian School of Materials Science and Engineering and Institute of Materials Genome & Big Data Harbin Institute of Technology Shenzhen 518055 China Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Science Beijing 100190 China School of Science Harbin Institute of Technology Shenzhen 518055 China Sauvage Laboratory for Smart Materials School of Materials Science and Engineering Harbin Institute of Technology Shenzhen 518055 China State Key Laboratory of Advanced Welding and Joining Harbin Institute of Technology Harbin 150001 China School of Physical Sciences Great Bay University Dongguan 523000 China Institute of Special Environments Physical Sciences Harbin Institute of Technology Shenzhen 518055 China Beijing Branch of Songshan Lake Materials Laboratory Dongguan 523808 China

Thermoelectric modules fabricated by traditional welding fall short of achieving optimal conversion efficiencies, primarily due to performance degradation of materials at high temperatures, severe elemental diffusion, and residual thermal stress at the interface. Transient liquid phase bonding enables the realization of joints with high-melting-point compounds at low bonding temperatures, providing a promising solution for achieving "low-temperature bonding and high-temperature service." Owing to the low eutectic point of the solder and high melting points of compounds, we optimize the design of a germanium-telluride-based module at 533 K, which is successfully applied at the hot-side temperature of 773 K. Attributed to high-performance materials and reliable joints, the module realizes a high conversion efficiency of ∼15.1% and remains stable throughout 150 h of service. By adopting the same approach, the low- (Bi2Te3) and high-temperature (half-Heusler) modules are assembled. We provide a promising and general route for the assembly of full-temperature-range thermoelectric devices.

关键词： transient liquid phase bonding thermoelectric module intermetallic compounds GeTe

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Structural Optimization Analysis of Autonomous Wave Energy Converter Based on Maximum Power Output 20

Structural Optimization Analysis of Autonomous Wave Energy C...

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20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Lei, Ming Heng, Wanshun Zhang, Xuexiao Xu, Yujie Harbin Engineering University College of Intelligent Science and Technology Harbin China Harbin Engineering University College of Computer Science and Technology Harbin China

ISBN: (纸本)9798350320831

In order to improve the energy conversion efficiency of autonomous wave energy converter, a novel optimization analysis method is proposed based on heave and pitch two-degree-of-freedom modeling and maximum power calculation. First of all, a restrained spring system is introduced to approximate the heave and pitch motion of autonomous wave energy converter, which simplifies the force analysis and modeling process. Then, similar to the spring system, a quantitative power computational model is constructed to illustrate the influence of the damping coefficient and wave frequency. Finally, through numerical calculation with statistical wave data of China's offshore, the optimal power take off (PTO) damping coefficient and wave frequency is obtained, providing a reference for subsequent structural optimization design. © 2023 IEEE.

关键词： Structural optimization

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A new technology perspective of the Metaverse:Its essence,framework and challenges

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Digital Communications and Networks 2024年第6期10卷 1653-1665页

作者： Feifei Shi Huansheng Ning Xiaohong Zhang Rongyang Li Qiaohui Tian Shiming Zhang Yuanyuan Zheng Yudong Guo Mahmoud Daneshmand School of Computer and Communication Engineering University of Science and Technology BeijingBeijing100083China Jinzhong University Shanxi030619China Department of Business Intelligence and Analytics and the Department of Computer Science Stevens Institute of TechnologyHobokenNJ07030USA

The Metaverse depicts a parallel digitalized world where virtuality and reality are *** has economic and social systems like those in the real world and provides intelligent services and *** this paper,we introduce the Metaverse from a new technology perspective,including its essence,corresponding technical framework,and potential technical ***,we analyze the essence of the Metaverse from its etymology and point out breakthroughs promising to be made in time,space,and contents of the Metaverse by citing Maslow's Hierarchy of ***,we conclude four pillars of the Metaverse,named ubiquitous connections,space convergence,virtuality and reality interaction,and human-centered communication,and establish a corresponding technical ***,we envision open issues and challenges of the Metaverse in the technical *** work proposes a new technology perspective of the Metaverse and will provide further guidance for its technology development in the future.

关键词： Metaverse Technical framework Ubiquitous connections Space convergence Virtuality and reality interaction Human-centered communication

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The Impact of Signal Delay and Power Surge on the Performance of Parity-Time Symmetric Wireless Power Transfer System

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IEEE Transactions on Power Electronics 2025年第8期40卷 11836-11848页

作者： Tao, Jin Yan, Hao Zhang, Chentao Guo, Dong Xiamen University Pentung Sah Institute of Micro-Nano Science and Technology Xiamen361000 China Harbin Engineering University College of Intelligent Systems Science and Engineering Yantai Research Institute Yantai264000 China

Parity-time symmetry wireless power transfer (PTS-WPT) technology enables constant output that is independent of load and mutual inductance, simply by controlling the zero-crossing points of the transmitting voltage and current. This approach is straightforward to implement and holds significant application potential. This article provides a detailed analysis of the power characteristics of the PTS system under strong coupling conditions and identifies a phenomenon unique to low-frequency tracking, referred to as the double-PTS (DPTS) state. The critical conditions for this phenomenon are calculated, and it is demonstrated that it leads to power fluctuations exceeding 50%. Additionally, the study examines the impact of signal detection delay - an unavoidable interference factor in practical scenarios - on the degradation of output power. Experimental results from the prototype show that the DPTS state can be effectively eliminated through parameter decomposition or optimization of the coupling mechanism. Furthermore, signal delay induces a 22% power fluctuation in low-frequency PTS systems and reduces the output power of high-frequency PTS systems by approximately 40% below the rated value. These experimental results are in good agreement with theoretical analyses. © 1986-2012 IEEE.

关键词： Inductive power transmission

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Boosting oxygen reduction activity and CO_(2) resistance on bismuth ferrite-based perovskite cathode for low-temperature solid oxide fuel cells below 600℃

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Journal of Energy Chemistry 2024年第3期90卷 600-609,I0013页

作者： Juntao Gao Zhiyun Wei Mengke Yuan Zhe Wang Zhe Lü Qiang Li Lingling Xu Bo Wei School of Physics Harbin Institute of TechnologyHarbin 150001HeilongjiangChina Key Laboratory of Functional Inorganic Material Chemistry Ministry of EducationSchool of Chemistry and Materials ScienceHeilongjiang UniversityHarbin 150080HeilongjiangChina School of Physics and Electronic Engineering Harbin Normal UniversityHarbin 150025HeilongjiangChina

Developing efficient and stable cathodes for low-temperature solid oxide fuel cells(LT-SOFCs) is of great importance for the practical ***,we propose a series of Sm-modified Bi_(0.7-x)Sm_xSr_(0.3)FeO_(3-δ) perovskites as highly-active catalysts for *** doping can significantly enhance the electrocata lytic activity and chemical stability of *** 600℃,Bi_(0.675)Sm_(0.025)Sr_(0.3)FeO_(3-δ)(BSSF25) cathode has been found to be the optimum composition with a polarization resistance of 0.098 Ω cm^2,which is only around 22.8% of Bi_(0.7)Sr_(0.3)FeO_(3-δ)(BSF).A full cell utilizing BSSF25 displays an exceptional output density of 790 mW cm^(-2),which can operate continuously over100 h without obvious *** remarkable electrochemical performance observed can be attributed to the improved O_(2) transport kinetics,superior surface oxygen adsorption capacity,as well as O_(2)p band centers in close proximity to the Fermi ***,larger average bonding energy(ABE) and the presence of highly acidic Bi,Sm,and Fe ions restrict the adsorption of CO_(2) on the cathode surface,resulting in excellent CO_(2) *** work provides valuable guidance for systematic design of efficient and durable catalysts for LT-SOFCs.

关键词： Low-temperature solid oxide fuel cell Perovskite cathode DFT calculations CO_(2) tolerance

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Enhanced piezoelectric properties and electrical resistivity in CaHfO_(3)modified BiFeO_(3)eBaTiO_(3)lead-free piezoceramics

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Journal of Materiomics 2024年第2期10卷 416-422页

作者： Jianwei Zhao Hailan Qin Xiaoxin Chen Shuhui Yu Dawei Wang Shenzhen Institute of Advanced Electronic Materials Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen518055GuangdongChina College of Materials Science and Engineering Guilin University of TechnologyGuilin541004GuangxiChina Functional Materials and Acousto-Optic Instruments Institute School of Instrumentation Science and EngineeringHarbin Institute of TechnologyHarbin150080HeilongjiangChina

A number of CaHfO_(3)modified BiFeO_(3)-0.33BaTiO_(3)(BF-0.33BT-xCH)lead-free piezoceramics were fabri-cated through the solid-state sintering method and comprehensively investigated in this *** the optimal sintering temperature,all compositions display a typical perovskite structure in a pseudo-cubic phase with slightly larger lattice parameters as the CH content *** electrical resistivity is highly enhanced due to the addition of ***,including the grain morphology,core-shell structure,and chemistry inhomogeneities,are demonstrated upon different BF-0.33BT-xCH *** particular,the core-shell structures with non-uniform element distributions in the compositions can be eliminated by adding sufficient CH content(x>0.05).The highest saturation polarization(40.1 mC/cm^(2)),remnant polarization(26.8 mC/cm^(2)),and converse piezoelectric coefficient(290 pm/V)are achieved in the BF-0.33BT-0.01CH piezoceramic,which are significantly enhanced in comparison with the undoped BF-0.33BT *** further increasing the CH content,the piezoelectric properties of BF-0.33BT-xCH ceramics decline rapidly,and they start to exhibit characteristics of relaxor ferroelectrics.

关键词： Lead-free piezoelectric CaHfO_(3)modified BF-0.33BT Core-shell structure Impedance Piezoelectric property

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