Deep Ultraviolet Excitation Photoluminescence Characteristics and Correlative Investigation of Al-Rich AlGaN Films on Sapphire by Zhe Chuan Feng, Ming Tian, Xiong Zhang, Manika Tun Nafisa, Yao Liu, Jeffrey Yiin, Benjamin Klein, Ian Ferguson

“…The simulation on the AlGaN longitudinal optical (LO) phonon modes determined the carrier concentrations in the AlGaN layers. The spatial correlation model (SCM) analyses on E₂(high) modes examined the AlGaN and AlN layer properties. …”
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Mechanism and evaluation method of rock burst prevention in coal mines using surface hydraulic fracturing by Yuzhen MA, Yongtao GAO, Sitao ZHU, Junfeng PAN, Kaiwen XIA, Xiufeng ZHANG, Fuxing JIANG, Jinhai LIU, Bing WANG, Yang CHEN, Cai YAN

“…These values were 76.0%, 8.5%, and 47.8% lower, respectively, than those observed with non-fracturing measures; In the fracturing particle flow numerical model, the fracturing main fissure provided a path for the development of the overlying rock structure, accelerated the extension of fissure development in the vicinity of the fractured layer position, and induced fractured strata to undergo slewing or sliding movement. …”
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STUDY OF THE NEOTECTONIC STRUCTURE OF THE BRATSK WATER RESERVOIR BED by A. G. Dmitriev, K. G. Levi, A. G. Vakhromeev

“…With reference to the velocity law, the travel time sections were processed and converted into depth profiles. A petrophysical model of bottom sediments was constructed, and a scheme was developed to ensure proper processing and interpreting of seismic and acoustic data. …”
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Artificial intelligence of things for sustainable smart city brain and digital twin systems: Pioneering Environmental synergies between real-time management and predictive planning by Simon Elias Bibri, Jeffrey Huang

“…To the best of our knowledge, research on the explicit fusion of UB's real-time analytics—enabled through stream processing—with UDT's predictive analytics—driven by simulation modeling—is scant, if not absent. …”
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Mobile detection of cataracts with an optimised lightweight deep Edge Intelligent technique by Dipta Neogi, Mahirul Alam Chowdhury, Mst. Moriom Akter, Md. Ishan Arefin Hossain

“…The proposed TensorFlow Lite model constructed by combining CNN layers and Adam in this study is called Optimised Light Weight Sequential Deep Learning Model (SDLM). …”
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Study on the Vibration Influence Law of Bored Cast-in-place Pile Construction on Existing Strata and Pipe Trenches by NIE Peng

“…Therefore, it is necessary to study the vibration response of the strata and structures caused by the rotary drilling process. ［Method］ Taking a station foundation pit excavation project of Jinan Metro Line 4 as the background, through field tests and numerical simulation methods based on three-dimensional finite element models, the influence of soil layers and power pipe trenches vibration caused by rotary drilling construction is analyzed considering factors such as vibration source distance, burial depth, excavation depth, different power pipe trench positions, and the number of piles under simultaneous construction. …”
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Dynamic Response of Seismic Dangerous Rock Based on PFC and Dynamics by Yun Tian, Linfeng Wang, Honghua Jin, Biao Zeng

“…Among the PGA amplification factors, Model 1 has a relatively uniform distribution, Model 2 has a zigzag distribution, Models 3 and 4 have a “U”-shaped distribution, and the most severe acceleration dynamic responses are 4-1 and 4-2 rock blocks. …”
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Forecast of hydrocarbon losses in deposits during the development of gas condensate fields by R. K. Dobrolyubova, E. I. Inyakina, I. I. Krasnov, V. V. Inyakin, A. F. Semenenko

“…The studies performed in the framework of the work by the contact and differential method on the reservoir fluid model (MPF) with imitation of the process of natural depletion of the deposit proved that low condensate content leads to lower losses in the reservoir. …”
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CerviXpert: A multi-structural convolutional neural network for predicting cervix type and cervical cell abnormalities by Rashik Shahriar Akash, Radiful Islam, SM Saiful Islam Badhon, KSM Tozammel Hossain

“…Our approach emphasizes simplicity, using a limited number of convolutional layers followed by max-pooling and dense layers, trained from scratch. …”
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Feasibility study of single-image super-resolution scanning system based on deep learning for pathological diagnosis of oral epithelial dysplasia by Zhaochen Liu, Zhaochen Liu, Peiyan Wang, Peiyan Wang, Nian Deng, Hui Zhang, Hui Zhang, Fangjie Xin, Xiaofei Yu, Xiaofei Yu, Mujie Yuan, Mujie Yuan, Qiyue Yu, Yuhao Tang, Keke Dou, Jie Zhao, Bing He, Jing Deng, Jing Deng

“…This was done to evaluate the feasibility of the super-resolution digital slide-scanning system, which is based on deep learning, for the pathological diagnosis of OED. The DS30R scanner processes an entire slide in a single layer within 0.25 min, occupying 0.35GB of storage. …”
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Experimental studies of mass transfer in caryopsis at grain oscillating drying by S. A. Pavlov, I. A. Pekhal’Skiy, R. A. Marin

“…In the course of drying intensity of a mass tranfer decreases because of predrying of surface layers, the gradient of moisture content decreases, the front of evaporation continuously goes deep, respectively, intensity of process decreases. …”
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Assessment of Aerodynamic Properties of the Ventilated Cavity in Curtain Wall Systems Under Varying Climatic and Design Conditions by Nurlan Zhangabay, Aizhan Zhangabay, Kenzhebek Akmalaiuly, Akmaral Utelbayeva, Bolat Duissenbekov

“…In this connection, this study presents a parametric assessment of the influence of climatic and geometric factors on the aerodynamic characteristics of the air cavity, which affect the heat exchange process in the ventilated layer of curtain wall systems. …”
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Geometrization of structural elements of the Southern section of the Bystriyivske gabbro deposit to determine rational directions of development by V.G. Levytskyi, A.O. Kryvoruchko, G.V. Skyba, S.V. Kalchuk, S.M. Shyshko

“…The main goal of the study is to create spatial models of the deposit that reflect the distribution patterns of the main structural elements, such as tectonic faults, layering, vein formations, fracture zones and other morphological heterogeneities that affect the physical and mechanical properties of rock and gabbroic rocks in particular. …”
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Design of a Remanufacturing Line Applying Lean Manufacturing and Supply Chain Strategies by Rosa Hilda Félix-Jácquez, Óscar Hernández-Uribe, Leonor Adriana Cárdenas-Robledo, Zaida Antonieta Mora-Alvarez

“…Five simulation scenarios were analyzed according to strategies layered incrementally. <i>Results</i>: Behaviors and outcomes were compared across the scenarios considering the remanufactured engines, percentage of process time, human labor occupation, and the statistical analysis of the process capability. …”
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Artificial intelligence tool development: what clinicians need to know? by Boon-How Chew, Kee Yuan Ngiam

“…This review synthesises a targeted literature review and reports and summarises online structured materials to present a succinct explanation of the whole development process of AI tools. The development of AI tools in healthcare involves a series of cyclical processes: (1) identifying clinical problems suitable for AI solutions, (2) forming project teams or collaborating with experts, (3) organising and curating relevant data, (4) establishing robust physical and virtual infrastructure, and computer systems’ architecture that support subsequent stages, (5) exploring AI neural networks on open access platforms before making a new decision, (6) validating AI/ML models, (7) registration, (8) clinical deployment and continuous performance monitoring and (9) improving the AI ecosystem ensures its adaptability to evolving clinical needs. …”
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Petroleum reservoir simulation using super-element method with local detalization of the solution by A.B. Mazo, K.A. Potashev

“…In this paper, we propose a two-stage method for petroleum reservoir simulation. The method uses two models with different degrees of detailization to describe the hydrodynamic processes of different space-time scales. …”
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Advanced clustering and transfer learning based approach for rice leaf disease segmentation and classification by Samia Nawaz Yousafzai, Fahd N. Al-Wesabi, Hadeel Alsolai, Shouki A. Ebad, Inzamam Mashood Nasir, Emad Fadhal, Adel Thaljaoui

“…In terms of feature extraction, EfficientNetB0 is fine-tuned by subtracting the last fully connected layers, and the classification is conducted with the new fully connected layers. …”
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Research on Wireless Passive Ultrasonic Thickness Measurement Technology Based on Pulse Compression Method by Long Pan, Kunsan Shi, Lei Han, Dingrong Qu, Yanling Zhang, Wenwu Chen

“…The research methodology encompassed the development of mathematical and circuit models for single coil and wireless energy transmission, the proposal of a three-terminal wireless energy mutual coupling system, and the establishment of a finite element model simulating the ultrasonic body wave thickness measurement and wireless energy transmission system. …”
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Decentralized multi-agent federated and reinforcement learning for smart water management and disaster response by H. Mancy, Naglaa E. Ghannam, Amr Abozeid, Ahmed I. Taloba

“…The research methodology for implementing the proposed solution involves the design of a multi-layered architecture, including data acquisition, decentralized learning, and real-time execution. …”
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A soil temperature dataset based on random forest in the Three River Source Region by Xiaoqing Tan, Siqiong Luo, Hongmei Li, Zhuoqun Li, Qingxue Dong

“…Abstract Changes in soil temperature (ST) in the Three River Source Region (TRSR) significantly influence regional climate, ecology, and hydrological processes. However, existing models and reanalysis data exhibit considerable deviations in ST due to limitations in physical processes and parameterization schemes. …”
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