Elastoplastic constitutive model considering the filling and cementation effects for gas hydrate-bearing sediments: development and finite element implementation by Qingmeng Yuan, Qingmeng Yuan, Qingmeng Yuan, Qianyong Liang, Qianyong Liang, Jinqiang Liang, Jinqiang Liang, Zhigang Wang, Zhigang Wang, Lin Yang, Lin Yang, Xuemin Wu, Xuemin Wu, Binbin Guo, Binbin Guo, Yifei Dong, Yifei Dong

“…These findings provide a foundation for further engineering applications.…”
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Effect of Key Parameters on Ploughing Force Performance of Planing-Type Anti-Climbers by Zhuyao Li, Jiyou Fei, Dongxue Song, Hong He, Chang Liu, Chong Zhang

“…The results demonstrate that the model achieves ≤15% relative error compared with the simulation data and ≤5% deviation from the experimental measurements, confirming its engineering applicability. …”
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A theory-informed, experiment-based constraint on the rate of autoxidation chemistry – an analytical approach by L. Pichelstorfer, L. Pichelstorfer, S. P. O'Meara, S. P. O'Meara, G. McFiggans

“…Currently, the method is applicable to chemical systems in a steady state, which can be established in flow reactors. …”
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Cancelable Multi-Branch Deep Learning Framework for Privacy-Preserving ECG Biometric Authentication by Mohamed Hammad, Ali Abdullah S. AlQahtani, Mohammed ELAffendi, Abdelhamied A. Ateya, Nebojsa Bacanin

“…These results confirm the practicality and scalability of our approach in secure, real-world biometric applications.…”
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Deep learning assisted real-time object recognition and depth estimation for enhancing emergency response in adaptive environment by Muhammad Faseeh, Misbah Bibi, Murad Ali Khan, Do-Hyeun Kim

“…Accurate long-range object recognition is essential in autonomous navigation and military surveillance applications. While recent advancements have improved real-time recognition, existing models, especially those focused on monocular depth estimation, face accuracy challenges due to supervised Deep Learning (DL) limitations. …”
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Distance and Velocity Characterizations Through Sampling Rate-Limited Main Interferometer in a Silicon Platform by Ting-Qing Liao, Ting-Chia Chang, Jhih-Jia Kang, Shih-Hsiang Hsu

“…Instead of an additional auxiliary interferometer, the direct Hilbert-transform resampling on the main interferograms of a silicon platform could correct the optical-source phase error to form compact light detection and ranging (LiDAR) systems in the characterizations of distances and velocities. …”
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Vibrator Rack Pose Estimation for Monitoring the Vibration Quality of Concrete Using Improved YOLOv8-Pose and Vanishing Points by Bingyu Ren, Xiaofeng Zheng, Tao Guan, Jiajun Wang

“…The results demonstrate that the improved YOLOv8-Pose achieved a 1.4% increase in accuracy compared with YOLOv8-Pose, and the proposed method monitored the rotation angle with an average error of 6.97° while maintaining a working efficiency of over 35 frames per second. …”
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Feasibility of Conoscopic Holography Measurement in the Stereolithography (SLA) Process with Alumina by Lorenzo Meana, Víctor Meana, Eduardo Cuesta, Pedro Fernández, Gonzalo Valiño, Braulio J. Álvarez

“…As additive manufacturing technologies continue to gain ground in industrial applications, the need for the accurate metrological evaluation of parts produced with advanced materials becomes increasingly critical. …”
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Investigation of the multi-pass drawing process for steel thin-walled ribbed tube using Taguchi-grey relational analysis optimisation by Xi Wang, Haojie Zhang, Wei Li, Chaoyang Sun

“…Ribbed tubes are characterised by specialised geometries that offer benefits such as enhanced structural strength and improved heat transfer performance, making them widely adopted as functional components across various applications and industries. On the other hand, multi-pass drawing (MPD) has proven to be an effective forming method for fabricating ribbed tubes with complex cross-sectional geometries using high strength materials. …”
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DSM-Based Precise Pointing Angle Deviation Measurement Method for Beaconless Free Space Optical Communication by Xueyuan Ao, Yansheng Zou, Yang Zou, Qirun Fan, Xiaoxiao Dai, Chen Liu, Qi Yang, Deming Liu

“…The root means square error (RMSE) of the pointing angle deviation measurement is 14.17 μrad with the incident optical power of −40 dBm. …”
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RUL Prediction Based on MBGD-WGAN-GRU for Lithium-Ion Batteries by Zhiguo Zhao, Ke Li, Yibo Dai, Biao Chen, Yeqin Wang, Qian Zhao

“…Experimental results demonstrate that the mean absolute error of the proposed method on B0005, B0006, and B0007 batteries is 0.0023 Ah, 0.0030 Ah, and 0.0014 Ah, respectively, confirming its effectiveness and practical applicability. …”
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Optimization Method of Underwater Flapping Foil Propulsion Performance Based on Gaussian Process Regression and Deep Reinforcement Learning by YANG Yinghe, WEI Handi, FAN Dixia, LI Ang

“…Meanwhile, with 290 sets of real samples provided for any given propulsion speed requirement, the agent can recommend a set of action combinations with an error range of 0.23% to 6.68%, which can provide reference for practical applications.…”
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Non-Myopic Beam Scheduling for Multiple Smart-Target Tracking in Phased Array Radar Networks by Yuhang Hao, Zengfu Wang, José Niño-Mora, Jing Fu, Quan Pan, Min Yang

“…Consequently, an unscented sampling-based MP (US-MP) index policy is proposed for selecting targets to track at each time step, which can be applicable to large networks with a realistic number of targets. …”
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A Unified IMC based PI/PID Controller Tuning Approach for Time Delay Processes by Amir Hossein Ahmadi, Seyed Kamaledin Nikravesh, Ali Moradi Amani

“…The presented settings are applicable to a wide range of integrating processes. …”
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Fast and efficient Sb-based type-II phototransistors integrated on silicon by Lining Liu, Simone Bianconi, Skyler Wheaton, Nathaniel Coirier, Farah Fahim, Hooman Mohseni

“…Their energy consumption is about 5 fJ/bit at 3.2 Gbps, with an error rate below 10−9 at −25 dBm optical power at 1550 nm. …”
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Hardware Implementation for Triaxial Contact-Force Estimation from Stress Tactile Sensor Arrays: An Efficient Design Approach by María-Luisa Pinto-Salamanca, Wilson-Javier Pérez-Holguín, José A. Hidalgo-López

“…The calculation of force vectors on the proposed hardware required an average time of 58.68 ms, with an estimation error of 12.6% for normal forces and 7.7% for tangential forces on a 10 × 10 taxel tactile sensor array. …”
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A Deep Variational Approach to Multiterminal Joint Source-Channel Coding Based on Information Bottleneck Principle by Shayan Hassanpour, Matthias Hummert, Dirk Wubben, Armin Dekorsy

“…In this article, we concentrate on a generic multiterminal joint source-channel coding scenario, appearing in a wide variety of real-world applications. Specifically, several noisy observations from a source signal must be compressed at some intermediate nodes, before getting forwarded over multiple error-prone and rate-limited channels towards a (remote) processing unit. …”
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Analysis of the mechanical behaviors of nonmetallic un-bonded flexible pipe under different loads by Jin Yu, Xuegang You, Tianwei Kong, Mengying Xia, Ruhong Lv, Kezheng Zhang, Baodong Wang

“…These quantitative results provide crucial design guidelines for performance optimization of non-metallic pipes in deepwater applications.…”
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Comparative Analyses Concerning Triaxial Compressive Yield Criteria of Coal with the Presence of Pore Water by Rulin Liu, Yanbin Yu, Weimin Cheng, Qingfeng Xu, Haotian Yang, Jialong Shen

“…The least absolute deviation is used as a metric to analyze the applicability of five yield criteria, to describe the yield characteristics of coal based on triaxial compressive strength tests on natural, water-saturated, and seepage coal samples with the presence of pore water. …”
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Extraction of Periodic Characteristics and Long-Term Stock Price Forecasting Using Non-Harmonic Analysis With Over 14 Years of NASDAQ Data Before and After COVID-19 by Yuki Kojima, Li Ma, Keisuke Nomoto, Masaya Hasegawa, Shigeki Hirobayashi

“…Compared with conventional techniques, including Ichinose’s method, Long Short-Term Memory (LSTM) networks, and the autoregressive integrated moving average (ARIMA) model, the proposed method demonstrates a superior predictive performance with lower Mean Absolute Percentage Error (MAPE). These findings provide new insights into stock market dynamics and suggest broader applications of NHA in financial time-series analysis.…”
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