Retracted: Research on the Prediction of Port Economic Synergy Development Trend Based on Deep Neural Networks by Journal of Mathematics

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Experimental Study on the Damage and Deterioration Behaviour of Deep Soft Rock under Water-Rock Interaction by Zenghui Zhao, Hao Liu, Xianzhou Lyu, Lei Wang, Zhongxi Tian, Jiecheng Sun

“…However, Poisson’s ratio varies little, which indicates that the swelling of cemented mudstone is not obvious when meeting water. In addition, the failure pattern of mudstone changes from overall splitting failure to block fragmentation failure. …”
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Path Optimization of Enterprise Network Innovation Performance Management Based on Deep Learning and Internet of Things by Peiran Xiong

“…It is particularly important for enterprises to establish a network relationship of a certain intensity with other external entities (upstream and downstream enterprises, peer enterprises, scientific research institutions, government departments, financial institutions, and other organizations) for their technological learning and improvement of technological innovation performance. …”
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New Media Marketing Strategy Optimization in the Catering Industry Based on Deep Machine Learning Algorithms by Zikang Peng

“…The communication module is connected with a deep machine learning algorithm system; that is, deep machine learning algorithm system is connected with a sales platform in communication. …”
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Development Evaluation and Optimization of Deep Shale Gas Reservoir with Horizontal Wells Based on Production Data by Wuguang Li, Hong Yue, Yongpeng Sun, Yu Guo, Tianpeng Wu, Nanqiao Zhang, Yue Chen

“…The implementation of horizontal wells is a key to economic development of the deep shale gas reservoir. In order to optimize the key parameters for drilling, stimulation, and the production system, the development effect of a horizontal well in deep shale gas formations was investigated from various aspects in this study. …”
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Advances in colorectal cancer diagnosis using optimal deep feature fusion approach on biomedical images by Sultan Refa Alotaibi, Manal Abdullah Alohali, Mashael Maashi, Hamed Alqahtani, Moneerah Alotaibi, Ahmed Mahmud

“…Lately, computer-aided diagnosis (CAD) based on HI has progressed rapidly with the increase of machine learning (ML) and deep learning (DL) based models. This study introduces a novel Colorectal Cancer Diagnosis using the Optimal Deep Feature Fusion Approach on Biomedical Images (CCD-ODFFBI) method. …”
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A Novel Deep Hybrid Recommender System Based on Auto-encoder with Neural Collaborative Filtering by Yu Liu, Shuai Wang, M. Shahrukh Khan, Jieyu He

“…However, there is as yet no research combining collaborative filtering and content-based recommendation with deep learning. In this paper, we propose a novel deep hybrid recommender system framework based on auto-encoders (DHA-RS) by integrating user and item side information to construct a hybrid recommender system and enhance performance. …”
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Utilization of fermented sago pulp as a source of carbohydrate in feed for Nile tilapia Oreochromis niloticus by I Kadek Sumiana, Julie Ekasari, Dedi Jusadi, Mia Setiawati

“… ABSTRACT This study aimed to evaluate sago pulp fermentation method and its effect on crude fiber content, digestibility, and utilization of sago pulp as a feed raw material for Nile tilapia. Fermentation was done using three different fermenters, i.e. yeast tapai and baker’s yeast with five doses of 10 g/kg, 20 g/kg, 50 g/kg,70 g/kg,100 g/kg, respectively, and sheep rumen liquid with five doses of 100 mL/kg, 200 mL/kg, 300 mL/kg, 500 mL/kg and 1000 mL/kg. …”
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Roles for Prlhr/GPR10 and Npffr2/GPR74 in feeding responses to PrRP by Yi Wang, Weiwei Qiu, Stace Kernodle, Carly Parker, Marc-Antonio Padilla, Jiaao Su, Abigail J. Tomlinson, Stephanie Oldham, Joss Field, Elise Bernard, David Hornigold, Christopher J. Rhodes, David P. Olson, Randy J. Seeley, Martin G. Myers, Jr

“…Not only does the artificial activation of NTSPrlh cells decrease feeding, but also the expression of Prlh (which encodes the neuropeptide PrRP) and neurotransmission by NTSPrlh neurons contributes to the restraint of food intake and body weight, especially in animals fed a high fat diet (HFD). …”
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Winter Wheat Yield Prediction Using Satellite Remote Sensing Data and Deep Learning Models by Hongkun Fu, Jian Lu, Jian Li, Wenlong Zou, Xuhui Tang, Xiangyu Ning, Yue Sun

“…This study proposes a method for predicting yields in China’s major winter wheat-producing regions using MOD13A1 data and a deep learning model which incorporates an Improved Gray Wolf Optimization (IGWO) algorithm. …”
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Automatic skull segmentation of MRI volume, a deep learning model trained on synthetic data by Romain Valabregue, Mélanie Didier, Mathieu Santin, Éric Bardinet, Victor Giolland, Antoine Balzeau

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Multiweight Cross-Multimedia Logistics Optimal Path Exploration by Integrating High-Dimensional Deep Learning by Huiying Zhang, Jinjin Guo, Guie Sun

“…High-dimensional deep learning has been applied in all walks of life at present, among which the most representative one is the logistics path optimization combining multimedia with high-dimensional deep learning. …”
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Lysophosphatidic acid 2 alleviates deep vein thrombosis via protective endothelial barrier function by Bai Ruifeng, Yue Xinyang, Tian Xuan, Zhao Huiru, Liu Ying, Li Tian, Wu Jun

Subjects: “…deep vein thrombosis…”
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Precision and efficiency in skin cancer segmentation through a dual encoder deep learning model by Asaad Ahmed, Guangmin Sun, Anas Bilal, Yu Li, Shouki A. Ebad

“…This paper proposes Dual Skin Segmentation (DuaSkinSeg), a deep-learning model, to address this gap by utilizing dual encoders for improved performance. …”
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Effect of Cornelian Cherry (Cornus mas L.) Juice on Selected Quality Properties of Beef Burgers by Anna Marietta Salejda, Alicja Z. Kucharska, Grażyna Krasnowska

“…In contrast, the CCJ was highly effective in retarding lipid oxidation in beef burgers during storage wherein even a dose of 0.5 g CCJ resulted in beneficial inhibition of oxidative changes and at the same time had no negative effect on the sensory characteristics of beef burgers. …”
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Bandwidth Enhancement of a Dual Band Planar Monopole Antenna Using Meandered Microstrip Feeding by M. R. Ahsan, M. T. Islam, M. Habib Ullah, N. Misran

“…The performance criteria of the proposed antenna have been experimentally verified by fabricating a printed prototype. …”
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Sentiment Analysis from Face Expressions Based on Image Processing Using Deep Learning Methods by Orhan Emre Aksoy, Selda Güney

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Dairy calves provided with environmental enrichment are more active, playful and have fewer feeding interruptions by Francesca Occhiuto, Jorge A. Vázquez-Diosdado, Matthew Thomas, Emma R. Gayner, Andrew J. King, Jasmeet Kaler

“…Here we use ultra-wideband location sensors to measure activity and play, along with automatic milk feeders to measure feeding. We assessed the effects of stationary brushes on the behaviour of 226 dairy calves for up to 72 days. …”
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Random resistive memory-based deep extreme point learning machine for unified visual processing by Shaocong Wang, Yizhao Gao, Yi Li, Woyu Zhang, Yifei Yu, Bo Wang, Ning Lin, Hegan Chen, Yue Zhang, Yang Jiang, Dingchen Wang, Jia Chen, Peng Dai, Hao Jiang, Peng Lin, Xumeng Zhang, Xiaojuan Qi, Xiaoxin Xu, Hayden So, Zhongrui Wang, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu

“…We propose a hardware-software co-designed random resistive memory-based deep extreme point learning machine. Data-wise, the multi-sensory data are unified as point set and processed universally. …”
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"Would I Have Been Better Off There?" Comparison, Need, and Conduciveness in Finnish Emigrant’s Account by Ulrika Wolf-Knuts

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