Citrus diseases detection using innovative deep learning approach and Hybrid Meta-Heuristic. by Nouman Butt, Muhammad Munwar Iqbal, Shabana Ramzan, Ali Raza, Laith Abualigah, Norma Latif Fitriyani, Yeonghyeon Gu, Muhammad Syafrudin

“…To address these issues, this research examines the implementation of an automated disease classification system using deep learning and optimal feature selection. The system incorporates data augmentation and transfer learning with pre-trained models such as DenseNet-201 and AlexNet to improve diagnostic accuracy, efficiency, and cost-effectiveness. …”
Get full text

A Hybrid Deep Learning Framework for Network Flow Forecasting of Power Grid Enterprise by Xin Huang, Ting Hu, Pei Pei, Qin Li, Xin Zhang

“…To prevent network congestion, this article proposes a novel network flow forecasting model, which is composed of variational mode decomposition (VMD), GRU-xgboost block, and a forecasting adjustment block, to grasp the changing patterns and trends of network flow in advance, and to formulate reasonable and effective flow management strategies and meet the requirements of users for network service quality. …”
Get full text

Dana Luciano, How the Earth Feels: Geological Fantasy in the Nineteenth-Century United States by Antoine Traisnel

Get full text

Defense against Feeding by Spring Aphid Parasitism in the Upper Leaf Parts of Host Plants by Yuuka Murakami, Hisashi Kawai, Akane Shindo, Eisuke Hasegawa

Get full text

DeepEye: Link Prediction in Dynamic Networks Based on Non-negative Matrix Factorization by Nahla Mohamed Ahmed, Ling Chen, Yulong Wang, Bin Li, Yun Li, Wei Liu

Get full text

Two-stage deep reinforcement learning method for agile optical satellite scheduling problem by Zheng Liu, Wei Xiong, Zhuoya Jia, Chi Han

Subjects: Get full text

Modern issues of sugar beet (<i>Beta vulgaris</i> L.) hybrid breeding by S. D. Karakotov, I. V. Apasov, A. A. Nalbandyan, E. N. Vasilchenko, T. P. Fedulova

Subjects: “…sugar beet…”
Get full text

Memory-driven deep-reinforcement learning for autonomous robot navigation in partially observable environments by Estrella Montero, Nabih Pico, Mitra Ghergherehchi, Ho Seung Song

“…We propose a memory-driven algorithm that employs deep reinforcement learning to enable collision-free proactive navigation in partially observable environments. …”
Get full text

Feeding habits of mudskipper fish (Priopthalmus argentiliniatus) in the mangrove ecosystem on The Northern Coast of Aceh by Dewiyanti Irma, Salsabilla Sarah

“…Information about the feeding habits of mudskipper fish is essential to make domestication efforts for the conservation of mudskipper. …”
Get full text

Deep Reinforcemnet Learning for Robust Beamforming in Integrated Sensing, Communication and Power Transmission Systems by Chenfei Xie, Yue Xiu, Songjie Yang, Qilong Miao, Lu Chen, Yong Gao, Zhongpei Zhang

Subjects: Get full text

The role of Lactobacterium plantarum in solid-state fermentation of Astragalus membranaceus for broiler chicken feed by Huan Li, Yu Kang, Yanting Sun, Chuanzhou Bian, Mingxia Fan, Han Zhang, Shengzhen Zhao, Xinghui Song, Hongxing Qiao

Get full text

Recurrent, Delayed Hemorrhage Associated with Edoxaban after Deep Brain Stimulation Lead Placement by Walavan Sivakumar, Sarah T. Garber, Lauren E. Schrock, Paul A. House

“…Factor-Xa inhibitors like edoxaban have been shown to have comparable or superior rates of stroke and systemic embolization prevention to warfarin while exhibiting lower clinically significant bleeding rates. …”
Get full text

Influence of Deformation and Instability of Borehole on Gas Extraction in Deep Mining Soft Coal Seam by Xue-Bo Zhang, Shuai-Shuai Shen, Xiao-Jun Feng, Yang Ming, Jia-jia Liu

Get full text

Glycogen and proximate content of white shrimp fed on different carbohydrate level and feeding frequency by , Zainuddin, , Haryati, Siti Aslamyah

“…One problem that commonly faced by pond farmer is the high price of feed with high protein content. This research was to identify the optimal level of carbohydrate and feeding frequency on glycogen deposit and chemical composition of white shrimp juvenile. …”
Get full text

Physical unclonable in-memory computing for simultaneous protecting private data and deep learning models by Wenshuo Yue, Kai Wu, Zhiyuan Li, Juchen Zhou, Zeyu Wang, Teng Zhang, Yuxiang Yang, Lintao Ye, Yongqin Wu, Weihai Bu, Shaozhi Wang, Xiaodong He, Xiaobing Yan, Yaoyu Tao, Bonan Yan, Ru Huang, Yuchao Yang

Get full text

Deep Learning Algorithms for Traffic Forecasting: A Comprehensive Review and Comparison with Classical Ones by Shahriar Afandizadeh, Saeid Abdolahi, Hamid Mirzahossein

“…This paper aims to comprehensively review deep learning algorithms and classical models employed in traffic forecasting. …”
Get full text

Lithium-Ion Battery State of Health Degradation Prediction Using Deep Learning Approaches by Talal Alharbi, Muhammad Umair, Abdulelah Alharbi

Subjects: Get full text

Predicting Flight Trajectory in Convective Weather through Boosted Spatiotemporal Deep Learning Ensemble by Xi Zhu, Ke Zhang, Zhuxi Zhang, Lifei Tan

“…To address this problem, we propose a boosted spatiotemporal deep learning ensemble for mining the law of how convective weather affects flight trajectory stretching. …”
Get full text

Sentiment analysis of the Hamas-Israel war on YouTube comments using deep learning by Ashagrew Liyih, Shegaw Anagaw, Minichel Yibeyin, Yitayal Tehone

Subjects: “…Deep learning approach…”
Get full text

Airport Arrival Flow Prediction considering Meteorological Factors Based on Deep-Learning Methods by Zhao Yang, Yifan Wang, Jie Li, Liming Liu, Jiyang Ma, Yi Zhong

Get full text