SGC Tests for Influence of Material Composition on Compaction Characteristic of Asphalt Mixtures by Qun Chen, Yuzhi Li

“…Based on analysis of densification curve of gyratory compaction, influence rules of the contents of mineral aggregates of all sizes and asphalt on compaction characteristic of asphalt mixtures were obtained. SGC Tests show that, for the mixture with a bigger content of asphalt, its density increases faster, that there is an optimal amount of fine aggregates for optimal compaction and that an appropriate amount of mineral powder will improve workability of mixtures, but overmuch mineral powder will make mixtures dry and hard. …”
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Review of the application of intelligent speech technology in education by Gao Jianqing, Wan Genshun, Wu Kui, Fu Zhonghua

“…With the help of intelligent speech technology, people can acquire knowledge faster, learn languages more efficiently, and even communicate by using different languages. …”
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Efficient Lane Detection Technique Based on Lightweight Attention Deep Neural Network by Zhiting Yao, Xiyuan Chen

“…For self-driving vehicles, detecting lane lines in changeable scenarios is a fundamental yet challenging task. …”
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The Comparison of Chosen - Bonded with the Use of Classical and Dedicated for 3D Printing Furfuryl Binder - Molding Sands’ Properties as a Basis for Development a New Inorganic Sys... by D.M. Halejcio, K.A. Major-Gabryś

“…Tests were carried out on the binding kinetics, bench life, strength properties, permeability, abrasion and hot distortion of molding sands prepared on the basis of a standard medium grain matrix and sieved fine-grain matrix. …”
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Multisignal VGG19 Network with Transposed Convolution for Rotating Machinery Fault Diagnosis Based on Deep Transfer Learning by Jianye Zhou, Xinyu Yang, Lin Zhang, Siyu Shao, Gangying Bian

“…Compared with existing methods, this method has faster training speed, fewer training samples per time, and higher accuracy. …”
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A New MPPT Technique for Fast and Efficient Tracking under Fast Varying Solar Irradiation and Load Resistance by Libin Xu, Ruofa Cheng, Jiajing Yang

“…The simulation results reveal that the response of the proposed algorithm is 4.6 times faster than that of the INC under these scenarios, and the proposed algorithm has higher efficiency.…”
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A Reliable Generative Adversarial Network Approach for Climate Downscaling and Weather Generation by Neelesh Rampal, Peter B. Gibson, Steven Sherwood, Gab Abramowitz, Sanaa Hobeichi

“…Abstract Anticipating climate impacts and risks in present or future climates requires predicting the statistics of high‐impact weather events at fine‐scales. Direct numerical simulations of fine‐scale weather are computationally too expensive for many applications. …”
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Formation of Nanoscale Bioimprints of Muscle Cells Using UV-Cured Spin-Coated Polymers by Fahmi Samsuri, John S. Mitchell, Maan M. Alkaisi, John J. Evans

“…The polymer replicas were then separated from the muscle cells and were analyzed under an Atomic Force Microscope (AFM), in tapping mode, because it has low tip-sample forces and thus will not destroy the fine structures of the imprint. …”
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A Channel Attention-Driven Optimized CNN for Efficient Early Detection of Plant Diseases in Resource Constrained Environment by Sana Parez, Naqqash Dilshad, Jong Weon Lee

“…The proposed <i>LeafNet</i> leverages small, uniform convolutional filters to capture fine-grained details of plant disease features, with an increasing number of channels to enhance feature extraction. …”
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RapidBenthos: Automated segmentation and multi‐view classification of coral reef communities from photogrammetric reconstruction by Tiny Remmers, Nader Boutros, Mathew Wyatt, Sophie Gordon, Maren Toor, Chris Roelfsema, Katharina Fabricius, Alana Grech, Marine Lechene, Renata Ferrari

“…The RapidBenthos workflow was 195 times faster than manual segmentation and classification. …”
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SGD-TripleQNet: An Integrated Deep Reinforcement Learning Model for Vehicle Lane-Change Decision by Yang Liu, Tianxing Yang, Liwei Tian, Jianbiao Pei

“…This dynamic weight adjustment process fine-tunes the weights based on gradient information to minimize the target loss function. …”
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Interfacial reaction and thermomigration of copper/indium joints by Zi-Yu Huang, Yen-Ju Chu, Cheng-En Ho, Yu-An Shen, Chih-Ming Chen

“…The thermomigration effect is significant in copper/indium/copper joints, wherein the Cu11In9 phase at the cold end grows at a much faster rate than does that at the hot end. …”
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The Effects of Cryogenic Process on the AISI M2 Punch Materials and on the Hole Edge Geometry of the DIN EN 10111-98 Sheet Metal Control Arm Parts by Yusuf Arslan

“…At the end of the industrial piercing process, it was determined that the M2 tool steel punch wear rates were decreased by cryogenic treatment, and the size changes of the hole geometry of the punches of the DIN EN 10111-98 control arm parts were more economic and with a better quality.…”
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SymbolNet: neural symbolic regression with adaptive dynamic pruning for compression by Ho Fung Tsoi, Vladimir Loncar, Sridhara Dasu, Philip Harris

“…Contrary to GP, the NN approach to SR offers scalability to high-dimensional inputs and leverages gradient methods for faster equation searching. Common ways of constraining expression complexity often involve multistage pruning with fine-tuning, which can result in significant performance loss. …”
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A predefined-time radial basis function (RBF) neural network tracking control method considering actuator faults for a new type of spraying robot by J. Zhao, J. Zhao, Y. Li, Y. Li, Y. Li, B. Pei, Z. Yu, Z. Dong

“…<p>A small-range fine-spraying collaborative robot (SFSC) for vehicle surface repair has been designed, which has 4 degrees of freedom. …”
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Effect of aging temperatures on the microstructural stability and mechanical properties of Super304H steel by You Li, Xue Wang

“…During aging at 700 °C/5000 h, the Super304H steel retained fine grains. In addition to the Nb(C,N) and Cu-rich phases, some σ phase was observed, and a few M23C6 shells precipitated around the primary Nb(C,N) inside the grains due to the similar configuration with the {111} plane of the interface between Nb(C,N) and the austenite matrix. …”
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Comparative Proteomics of Two Flor Yeasts in Sparkling Wine Fermentation: First Approach by Juan C. García-García, Teresa García-Martínez, Juan J. Román-Camacho, Juan Moreno, Juan C. Mauricio

“…The traditional method is considered the highest-quality sparkling wine making technique. Its main characteristic is that the entire sparkling transformation takes place in the bottle, producing complex, refined wines with fine, persistent bubbles. …”
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Enhanced Solubility of the Support in an FDM-Based 3D Printed Structure Using Hydrogen Peroxide under Ultrasonication by Seong Je Park, Ji Eun Lee, Jean Ho Park, Nak Kyu Lee, Min-Young Lyu, Keun Park, Myung Sool Koo, Sung Hwan Cho, Yong Son, Suk-Hee Park

“…Fused deposition modeling (FDM), one of the archetypal 3D printing processes, typically requires support structures matched to printed model parts that principally have undercut or overhung features. …”
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Accelerated symptom improvement in Parkinson’s disease via remote internet-based optimization of deep brain stimulation therapy: a randomized controlled multicenter trial by Alireza Gharabaghi, Sergiu Groppa, Marta Navas-Garcia, Alfons Schnitzler, Laura Muñoz-Delgado, Vicky L. Marshall, Jessica Karl, Lin Zhang, Ramiro Alvarez, Mary S. Feldman, Michael J. Soileau, Lan Luo, S. Elizabeth Zauber, Benjamin L. Walter, Chengyuan Wu, Hong Lei, Damian M. Herz, Ming-Hua Chung, Yagna Pathak, Bram Blomme, Binith Cheeran, Corneliu Luca, Daniel Weiss

“…After initial programming, clinicians are tasked with fine-tuning DBS parameters through repeated in-person clinic visits. …”
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