A Vehicle Path Planning Algorithm Based on Mixed Policy Gradient Actor-Critic Model with Random Escape Term and Filter Optimization by Wei Nai, Zan Yang, Daxuan Lin, Dan Li, Yidan Xing

“…At the same time, in order to avoid the model converging local optimum, a random escape term has been added in the policy weight update process to overcome the problem that it is difficult to optimize the non-convex loss function, and the random escape term can help to explore the policy in more directions. …”
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Unsteady thermal convective transport of nanofluids with couple stress through a circular microchannel under the time-periodic pressure gradient and electromagnetohydrodynamic by Jiali Zhang, Guangpu Zhao, Umer Farooq, Jifeng Cui

“…The velocity and temperature distributions are obtained using the Green’s function method, and the Nusselt number and entropy generation are further derived. …”
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Environmental Gradients and Conservation Status Determine the Structure and Carbon‐Related Metabolic Potential of the Prokaryotic Communities of Mediterranean Inland Saline Shallow... by Javier Miralles‐Lorenzo, Antonio Picazo, Carlos Rochera, Daniel Morant, Emilio O. Casamayor, Mateu Menéndez‐Serra, Antonio Camacho

“…In this work, the structure and both actual activity and predicted function of the prokaryotic communities inhabiting water and sediments of 15 Mediterranean inland saline shallow lakes have been studied. …”
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Enhancing cold storage efficiency: Continuous deep deterministic policy gradient approach to energy optimization utilizing strategic sensor input data by Jong-Whi Park, Young-Min Ju, Hak-Sung Kim

“…In this study, we present a continuous Deep Deterministic Policy Gradient (DDPG)-based control algorithm applied to extended-scale cold storage environments to optimize energy efficiency. …”
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Geographic variation and core microbiota composition of Anastrepha ludens (Diptera: Tephritidae) infesting a single host across latitudinal and altitudinal gradients by Martín Aluja, Daniel Cerqueda-García, Alma Altúzar-Molina, Larissa Guillén, Emilio Acosta-Velasco, Juan Conde-Alarcón, Andrés Moya

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Dholes Hunting—A Multi-Local Search Algorithm Using Gradient Approximation and Its Application for Blockchain Consensus Problem by Binh Minh Nguyen, Thieu Nguyen, Quoc-Hien Vu, Tran Huy Hung, Tran Hoang Hai, Huynh Thi Thanh Binh, Van-Dang Tran

“…A clustering approach and finding an optimal global algorithm describe primarily based on gradient approximation. We use four benchmark function datasets to evaluate the DhoH’s performance. …”
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Polypore fungi as a flagship group to indicate changes in biodiversity – a test case from Estonia by Kadri Runnel, Otto Miettinen, Asko Lõhmus

“…We estimate that in Estonia, the biota experienced ca. 3–5% species turnover during the twentieth century, but exotic species remain rare and have not attained key functions in natural ecosystems. We encourage new regional syntheses on long studied fungal groups to obtain landscape-scale understanding of species pools, and for elaborating fungal indicators for biodiversity assessments.…”
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A High-Affinity Monoclonal Antibody Against the Pancreatic Ductal Adenocarcinoma Target, Anterior Gradient-2 (AGR2/PDIA17) by Reeder M. Robinson, Leticia Reyes, Benjamin N. Christopher, Ravyn M. Duncan, Rachel A. Burge, Julie Siegel, Patrick Nasarre, Pingping Wang, John P. O’Bryan, G. Aaron Hobbs, Nancy Klauber-DeMore, Nathan G. Dolloff

“…Background/Objectives: Anterior Gradient-2 (AGR2/PDIA17) is a member of the protein disulfide isomerase (PDI) family of oxidoreductases. …”
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On New Conjugate Pair Method by Abbas Al-Bayati, Nidhal Al-Assady, Ban Mitras

“…This paper involves the combination between the conjugate pair and hybrid conjugate gradient methods. The new combined algorithm is based on exact line search and it is examined by using different nonlinear test functions in various dimensions.  …”
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Nonlinear asymmetric thermomechanical buckling of shallow nanoscale arches having dissimilar end conditions embracing nonlocality and strain gradient size dependencies by Saeid Sahmani, Kamila Kotrasova, Mona Zareichian, Jian Sun, Babak Safaei

“…The arches, made from a functionally graded graphene nanofiller reinforced composite (FG-GNRC), are subjected to discretional radial concentrated loads along with converting of temperature. …”
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Dinâmica da umidade de um solo da Caatinga em função de sua condutividade térmica Soil moisture dynamics of a soil in 'Caatinga' as a function of the thermal conductivity by Alain M. B. P. de Silans, Lovania M. Werlang

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Predatory potential and functional responses of Chrysoperla zastrowi sillemi Esben-Peterson (Neuroptera: Chrysopidae) against the red spider mite, Oligonychus coffeae Nietner (Acar... by Nagaraj Santhana Bharathi, Krishnaswamy Sujatha, Thattante Parambil Rabeesh

“…Abstract Background This study focused on examining the predatory potential of Chrysoperla zastrowi sillemi Esben-Peterson (Neuroptera: Chrysopidae) against different developmental stages of the red spider mite (RSM) Oligonychus coffeae Nietner (Acarina: Tetranychidae) infesting tea crops, under both free-choice and no-choice scenarios at three different temperature gradients: 20 °C, 25 °C, and 30 °C. Additionally, this study aimed to investigate the functional response parameters of the three larval instars of C. z. sillemi at different developmental stages of O. coffeae at varying population densities. …”
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An Efficient Intersection Over Union Algorithm for 3D Object Detection by Sazan Ali Kamal Mohammed, Mohd Zulhakimi Ab Razak, Abdul Hadi Abd Rahman, Maria Abu Bakar

“…The majority of enhanced loss functions often alter the penalty terms when solving the zero-gradient issue of IoU in non-overlapping situations. …”
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Content-aware image resizing based on random-carving with probability by Ying-chun GUO, Jun-teng HOU, Ming YU, Rui-li WANG

“…To improve the running speed of image resizing,a fast content-aware image resizing algorithm was proposed based on the threshold learning and random-carving with probability.Firstly the important map was calculated by combining the graph-based visual saliency map and gradient map.Then the image threshold value was obtained by radial basis function (RBF) neural network learning.And by the threshold,the original image was separated into the protected part and the unprotected part which was corresponding to the important part and the unimportant part of the original image individually.Finally,the two parts were allocated different resizing scales and the random-carving with probability was applied to them respectively.Experiments results show that the proposed algorithm has lower time cost comparing to the state-of-arts algorithms in MSRA image database,and has a better visual perception on image resizing.…”
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Content-aware image resizing based on random-carving with probability by Ying-chun GUO, Jun-teng HOU, Ming YU, Rui-li WANG

“…To improve the running speed of image resizing,a fast content-aware image resizing algorithm was proposed based on the threshold learning and random-carving with probability.Firstly the important map was calculated by combining the graph-based visual saliency map and gradient map.Then the image threshold value was obtained by radial basis function (RBF) neural network learning.And by the threshold,the original image was separated into the protected part and the unprotected part which was corresponding to the important part and the unimportant part of the original image individually.Finally,the two parts were allocated different resizing scales and the random-carving with probability was applied to them respectively.Experiments results show that the proposed algorithm has lower time cost comparing to the state-of-arts algorithms in MSRA image database,and has a better visual perception on image resizing.…”
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Structural, Electronic, Dynamic, and Optical Properties of 2D Monolayer Tungsten Telluride (2H-WTe2) under Small Biaxial Strain Using Density Functional Theory (DFT and DFT + U)... by Mulugeta Woldesenbet, Nebiyu Debelo, Menberu Woldemariam

“…The structural, electronic, vibrational, and optical properties of 2D- 2H-WTe2 monolayer are investigated using density functional theory with respect to a plane wave ultrasoft pseudopotentials (PW-USPPs) in a generalized gradient approximation (GGA) and with the Hubbard potential (GGA + U). …”
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Enhancing Residential Electricity Consumption Forecasting with Meta-Heuristic Algorithms by Milad Mohebbi, Behnam Sobhani

“…This study explores optimizing Artificial Neural Network (ANN) parameters using meta-heuristic algorithms instead of traditional gradient-based methods to predict residential electricity consumption across different seasons. …”
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Automated Deep Learning Based Cardiac Quantification in Hypertrophic Cardiomyopathy: A Comparative Study with Manual Segmentation by Shivam Angiras, Deb Kumar Boruah, Pranjal Phukan, Kalyan Sarma, Prince Das, Rajeev Bharadwaj, Harshit Jain, Ajmal Roshan

“… Background: Hypertrophic CardioMyopathy (HCM) is the most prevalent inherited cardiac disorder, where accurate assessment of Left Ventricular (LV) function and Mitral Regurgitation (MR) is crucial. …”
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Panoramic analysis of 2D dirubidium telluride monolayer benchmarking the DFT approach by G. Sneha, R. D. Eithiraj

“…The Perdew-Bruke-Ernzerhof (PBE) form of generalized gradient approximation (GGA) functional in WIEN2k was deployed for the analysis of all these material properties. …”
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Hazard and Lag Effect of Compound Heat-Drought Events in Southeastern Coastal China under Climate Change Scenarios by An Aohua, Chen Jie, Gao Guoping

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