Path Optimization of Enterprise Network Innovation Performance Management Based on Deep Learning and Internet of Things by Peiran Xiong

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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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A two-stage deep learning-based hybrid model for daily wind speed forecasting by Shahab S. Band, Rasoul Ameri, Sultan Noman Qasem, Saeid Mehdizadeh, Brij B. Gupta, Hao-Ting Pai, Danyal Shahmirzadi, Ely Salwana, Amir Mosavi

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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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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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Prediction of ECG signals from ballistocardiography using deep learning for the unconstrained measurement of heartbeat intervals by Seiichi Morokuma, Tadashi Saitoh, Masatomo Kanegae, Naoyuki Motomura, Subaru Ikeda, Kyuichi Niizeki

“…Abstract We developed a deep learning–based extraction of electrocardiographic (ECG) waves from ballistocardiographic (BCG) signals and explored their use in R–R interval (RRI) estimation. …”
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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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Bioinformatics and Deep Learning Approach to Discover Food-Derived Active Ingredients for Alzheimer’s Disease Therapy by Junyu Zhou, Chen Li, Yong Kwan Kim, Sunmin Park

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Integration and Fusion of Geologic Hazard Data under Deep Learning and Big Data Analysis Technology by Feng He, Chunxue Liu, Hongjiang Liu

“…To discuss the analysis and evaluation of highway landslides, the application of data mining methods combined with deep learning frameworks in geologic hazard evaluation and monitoring is explored preliminarily. …”
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Artificial Hummingbird Optimization Algorithm With Hierarchical Deep Learning for Traffic Management in Intelligent Transportation Systems by Abdulrahman Alruban, Hanan Abdullah Mengash, Majdy M. Eltahir, Nabil Sharaf Almalki, Ahmed Mahmud, Mohammed Assiri

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Effect of Depth Band Replacement on Red, Green and Blue Image for Deep Learning Weed Detection by Jan Vandrol, Janis Perren, Adrian Koller

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Trust in Intrusion Detection Systems: An Investigation of Performance Analysis for Machine Learning and Deep Learning Models by Basim Mahbooba, Radhya Sahal, Wael Alosaimi, Martin Serrano

“…., intrusion detection system (IDS)), users can justifiably trust, one needs to evaluate the impact of trust using machine learning and deep learning technologies. To guide the design and implementation of trusted AI-based systems in IDS, this paper provides a comparison among machine learning and deep learning models to investigate the trust impact based on the accuracy of the trusted AI-based systems regarding the malicious data in IDs. …”
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Enhanced automated text categorization via Aquila optimizer with deep learning for Arabic news articles by Muhammad Swaileh A. Alzaidi, Alya Alshammari, Abdulkhaleq QA Hassan, Shouki A. Ebad, Hanan Al Sultan, Mohammed A. Alliheedi, Ali Abdulaziz Aljubailan, Khadija Abdullah Alzahrani

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Deep learning-based encryption scheme for medical images using DCGAN and virtual planet domain by Manish Kumar, Aneesh Sreevallabh Chivukula, Gunjan Barua

“…The method uses a Deep Learning (DL) framework to generate a decoy image, which forms the basis for generating encryption keys using a timestamp, nonce, and 1-D Exponential Chebyshev map (1-DEC). …”
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Varying pixel resolution significantly improves deep learning-based carotid plaque histology segmentation by Yurim Lee, Rashid Al Mukaddim, Tenzin Ngawang, Shahriar Salamat, Carol C. Mitchell, Jenna Maybock, Stephanie M. Wilbrand, Robert J. Dempsey, Tomy Varghese

“…Lack of public datasets and the hypocellular nature of plaques have made applying deep learning to this task difficult. To address this, we sampled 1944 regions of interests from 323 whole slide images and drastically varied their pixel resolution from $$1.96\upmu m \times 1.96\upmu m$$ to $$26.5\upmu m \times 26.5\upmu m$$ as we anticipated that varying the pixel resolution of histology images can provide neural networks more ’context’ that pathologists also rely on. …”
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Improved Estimation of Aboveground Biomass in Rubber Plantations Using Deep Learning on UAV Multispectral Imagery by Hongjian Tan, Weili Kou, Weiheng Xu, Leiguang Wang, Huan Wang, Ning Lu

“…The reliance on feature selection methods limits the model’s generalizability, robustness, and predictive accuracy. In contrast, deep learning (DL) exhibits considerable promise in extracting features from high-resolution UAV-based multispectral imagery without the need for manual selection. …”
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Classification of CT scan and X-ray dataset based on deep learning and particle swarm optimization. by Honghua Liu, Mingwei Zhao, Chang She, Han Peng, Mailan Liu, Bo Li

“…Computer-aided diagnosis models based on deep learning have good universality and can well alleviate these problems. …”
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Liquid-based cytological diagnosis of pancreatic neuroendocrine tumors using hyperspectral imaging and deep learning by Taojing Ran, Wei Huang, Xianzheng Qin, Xingran Xie, Yingjiao Deng, Yundi Pan, Yao Zhang, Ling Zhang, Lili Gao, Minmin Zhang, Dong Wang, Yan Wang, Qingli Li, Chunhua Zhou, Duowu Zou

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Structure-Based Approaches for Protein–Protein Interaction Prediction Using Machine Learning and Deep Learning by Despoina P. Kiouri, Georgios C. Batsis, Christos T. Chasapis

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