Motion Route Planning and Obstacle Avoidance Method for Mobile Robot Based on Deep Learning by Jichao Cui, Guanghua Nie

“…In order to improve the motion route planning effect and obstacle avoidance effect of mobile robots, this paper combines the deep learning theory to analyze the motion route planning and obstacle avoidance process of mobile robots. …”
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Addressing temperature challenges in machining: Deep-eutectic metalworking fluids and their influence on surface integrity by Erik Abbá, Alistair Speidel, Zhirong Liao, Donka Novovic, Dragos Axinte

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Deep-Learning Prediction Model with Serial Two-Level Decomposition Based on Bayesian Optimization by Xue-Bo Jin, Hong-Xing Wang, Xiao-Yi Wang, Yu-Ting Bai, Ting-Li Su, Jian-Lei Kong

“…This paper presents a deep hybrid model with a serial two‐level decomposition structure. …”
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The azimuthal correlation between the leading jet and the scattered lepton in deep inelastic scattering at HERA by ZEUS Collaboration, I. Abt, R. Aggarwal, V. Aushev, O. Behnke, A. Bertolin, I. Bloch, I. Brock, N. H. Brook, R. Brugnera, A. Bruni, P. J. Bussey, A. Caldwell, C. D. Catterall, J. Chwastowski, J. Ciborowski, R. Ciesielski, A. M. Cooper-Sarkar, M. Corradi, R. K. Dementiev, S. Dusini, J. Ferrando, B. Foster, E. Gallo, D. Gangadharan, A. Garfagnini, A. Geiser, G. Grzelak, C. Gwenlan, D. Hochman, N. Z. Jomhari, I. Kadenko, U. Karshon, P. Kaur, R. Klanner, U. Klein, I. A. Korzhavina, N. Kovalchuk, M. Kuze, B. B. Levchenko, A. Levy, B. Löhr, E. Lohrmann, A. Longhin, F. Lorkowski, E. Lunghi, I. Makarenko, J. Malka, S. Masciocchi, K. Nagano, J. D. Nam, Yu. Onishchuk, E. Paul, I. Pidhurskyi, A. Polini, M. Przybycień, A. Quintero, M. Ruspa, U. Schneekloth, T. Schörner-Sadenius, I. Selyuzhenkov, M. Shchedrolosiev, L. M. Shcheglova, N. Sherrill, I. O. Skillicorn, W. Słomiński, A. Solano, L. Stanco, N. Stefaniuk, B. Surrow, K. Tokushuku, O. Turkot, T. Tymieniecka, A. Verbytskyi, W. A. T. Wan Abdullah, K. Wichmann, M. Wing, S. Yamada, Y. Yamazaki, A. F. Żarnecki, O. Zenaiev

“…Abstract The azimuthal correlation angle, $$\Delta \phi $$ Δ ϕ , between the scattered lepton and the leading jet in deep inelastic $$e^{\pm }p$$ e ± p scattering at HERA has been studied using data collected with the ZEUS detector at a centre-of-mass energy of $$\sqrt{s} = 318 {\,\text {Ge}\hspace{-0.66666pt}\text {V}}$$ s = 318 Ge V , corresponding to an integrated luminosity of $$326 \,\text {pb}^{-1}$$ 326 pb - 1 . …”
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Infant Feeding Practices and Nut Allergy over Time in Australian School Entrant Children by Jessica Paton, Marjan Kljakovic, Karen Ciszek, Pauline Ding

“…To measure the association between infant feeding practices and parent-reported nut allergy in school entrant children. …”
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The Health Index Prediction Model and Application of PCP in CBM Wells Based on Deep Learning by Chaodong Tan, Song Wang, Hanwen Deng, Guoqing Han, Guanghao Du, Wenrong Song, Xiongying Zhang

“…Therein, a health index (HI) formulation was made based on deep learning, and a statistical method was used to define the health status of PCP wells as being healthy, subhealthy, or faulty. …”
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Parallel Bookkeeping Path of Accounting in Government Accounting System Based on Deep Neural Network by Qing Li

“…It is still a new thing for the majority of financial personnel in the government accounting subject. A deep neural network is the basis of deep learning. …”
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An endeavor for excellent and aberration-free vision in advanced keratoconus: Penetrating or deep anterior keratoplasty? by Shilpa Dike Joshi, Nikita Vilas Gundecha

“…Design: This was a longitudinal clinical study of 50 eyes of 50 patients undergoing optical penetrating keratoplasty (OPK) or deep anterior lamellar keratoplasty (DALK). Materials and Methods: Visual acuity, slit-lamp evaluation, corneal topography, fundus evaluation, intraocular pressure measurement, contrast, and aberrometry were performed preoperatively and postoperatively at 1, 3, 6, and 12 months. …”
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Study on Deformation Mechanism and Support Measures of Soft Surrounding Rock in Muzhailing Deep Tunnel by Zhigang Tao, Jindong Cao, Liu Yang, Aipeng Guo, Ruifeng Huang, Xiaojie Yang, Di Yuan, Lin Hou

“…The deformation of Muzhailing deep tunnel is about 2.3 m in the process of construction, which is difficult to be controlled by the traditional “anchor-grouting integration” support system. …”
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Effect of Dry, Vacuum, and Modified Atmosphere Ageing on Physicochemical Properties of Roe Deer Meat by Natalia Kasałka-Czarna, Róża Biegańska-Marecik, Jędrzej Proch, Aleksandra Orłowska, Magdalena Montowska

Subjects: “…roe deer…”
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From Academic Judgement to Academic Coaching: Using Video Feed as an Alternative to Written Feedback. by Lindsey Gaston, Laura Dixon

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Leonard Tennenhouse, The Importance of Feeling English. American Literature and the British Diaspora. 1750-1850 by Marc Amfreville

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Propagation of interspecies sexual behaviour between Japanese macaques and Sika deer: First evidence by Sueur Cédric, Oshima Atsuyuki, Pelé Marie

“…This naturalistic note presents a series of observation of interspecies sexual behaviour involving Japanese macaques (Macaca fuscata yakui) and Sika deer (Cervus Nippon yakushimae) on Yakushima Island, Japan. …”
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Advancements and Challenges in Character Recognition: A Comparative Analysis of CNN and Deep Learning Approaches by Yang Ximin

“…The collective findings suggest that while CNN and deep learning models have significantly advanced character recognition, there remains a need for enhanced segmentation techniques and a balanced approach to optimizing training efficiency and accuracy. …”
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Comparative study on deep and machine learning approaches for predicting wind pressures on tall buildings by Mosbeh R. Kaloop, Abidhan Bardhan, Pijush Samui, Jong Wan Hu, Mohamed Elsharawy

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Experimental Study on Mechanical Properties of Deep Buried Granite under Different Confining Pressures by Jun Zhao, Tan Zhang

“…Brittle failure of hard rock poses a serious threat to the stability of surrounding rock in deep underground engineering. In order to study the deformation and failure characteristics of deep buried granite under high confining pressure cyclic loading and unloading, MTS815 electro-hydraulic servo rock test system was used to conduct cyclic loading and unloading tests under confining pressures of 15 MPa, 35 MPa, 45 MPa, and 55 MPa, and the corresponding stress-strain curves and deformation failure characteristic curves were obtained. …”
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Study on the Influence of Different Feeding Habitats on the Behavioral Habits of Siberian Cranes in the Songnen Plain by Shiying Zhu, Guangyi Deng, Haibo Jiang, Jie Gao, Chunguang He, Yan Zhang, Yingyue Cao

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From Backtracking To Deep Learning: A Survey On Methods For Solving Constraint Satisfaction Problems by Fatima AIT HATRIT, Kamal AMROUN

“…To address this, extensive research has been conducted, leading to the development of effective techniques and algorithms for different types of CSPs, ranging from exhaustive search methods, which explore the entire search space, to modern techniques that use deep learning to learn how to solve CSPs. …”
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Research on the Prediction of Port Economic Synergy Development Trend Based on Deep Neural Networks by Anping Zha, Jianjun Tu

“…After entering the new century, along with the further deepening of global economic and trade cooperation, the industrial division of labor has been newly developed globally, which brings the cooperation among countries in the international logistics chain more and more closely. …”
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Dueling Network Architecture for GNN in the Deep Reinforcement Learning for the Automated ICT System Design by Tianchen Zhou, Yutaka Yakuwa, Natsuki Okamura, Hiroyuki Hochigai, Takayuki Kuroda, Ikuko Eguchi Yairi

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