Transferability Evaluation in Wi-Fi Intrusion Detection Systems Through Machine Learning and Deep Learning Approaches by Saud Yonbawi, Adil Afzal, Muhammad Yasir, Muhammad Rizwan, Natalia Kryvinska

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Discrimination between the facial gestures of vocalising and non-vocalising lemurs and small apes using deep learning by Filippo Carugati, Olivier Friard, Elisa Protopapa, Camilla Mancassola, Emanuela Rabajoli, Chiara De Gregorio, Daria Valente, Valeria Ferrario, Walter Cristiano, Teresa Raimondi, Valeria Torti, Brice Lefaux, Longondraza Miaretsoa, Cristina Giacoma, Marco Gamba

“…However, manual inspection methods are only practical for small datasets. Deep learning techniques can help discriminate facial configurations associated with vocalisations over large datasets. …”
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Deep Learning Algorithms and Multicriteria Decision-Making Used in Big Data: A Systematic Literature Review by Mei Yang, Shah Nazir, Qingshan Xu, Shaukat Ali

“…The aim of the proposed study is to present a systematic literature study in order to show the applications of deep learning algorithms and multicriteria decision approaches for the problems of big data. …”
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An ensemble deep learning framework for energy demand forecasting using genetic algorithm-based feature selection by Mohd Sakib, Tamanna Siddiqui, Suhel Mustajab, Reemiah Muneer Alotaibi, Nouf Mohammad Alshareef, Mohammad Zunnun Khan

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Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects by Kim Junhyeong, Kim Jae-Yong, Kim Jungmin, Hyeong Yun, Neseli Berkay, You Jong-Bum, Shim Joonsup, Shin Jonghwa, Park Hyo-Hoon, Kurt Hamza

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Comprehensive Environmental Monitoring System for Industrial and Mining Enterprises Using Multimodal Deep Learning and CLIP Model by Shuqin Wang, Na Cheng, Yan Hu

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Hierarchical image classification using transfer learning to improve deep learning model performance for amazon parrots by Jung-Il Kim, Jong-Won Baek, Chang-Bae Kim

“…Abstract Numerous studies have proven the potential of deep learning models for classifying wildlife. Such models can reduce the workload of experts by automating species classification to monitor wild populations and global trade. …”
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scSMD: a deep learning method for accurate clustering of single cells based on auto-encoder by Xiaoxu Cui, Renkai Wu, Yinghao Liu, Peizhan Chen, Qing Chang, Pengchen Liang, Changyu He

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Diagnosis of Coronary Heart Disease Through Deep Learning-Based Segmentation and Localization in Computed Tomography Angiography by Bo Zhao, Jianjun Peng, Ce Chen, Yongyan Fan, Kai Zhang, Yang Zhang

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Using deep learning model integration to build a smart railway traffic safety monitoring system by Chin-Chieh Chang, Kai-Hsiang Huang, Tsz-Kin Lau, Chung-Fah Huang, Chun-Hsiung Wang

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Artificial Intelligence-Based Deep Learning Model for the Performance Enhancement of Photovoltaic Panels in Solar Energy Systems by Radhey Shyam Meena, Anoop Singh, Shilpa Urhekar, null RohitBhakar, Neeraj Kumar Garg, Mohammad Israr, D. P. Kothari, C. Chiranjeevi, Prasath Srinivasan

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Deep Learning and Radiomics in Triple-Negative Breast Cancer: Predicting Long-Term Prognosis and Clinical Outcomes by Cheng C, Wang Y, Zhao J, Wu D, Li H, Zhao H

Subjects: “…deep learning…”
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PREDICTING STOCK PRICE DIRECTION OF EUROZONE BANKS: CAN DEEP LEARNING TECHNIQUES OUTPERFORM TRADITIONAL MODELS? by Bogdan Ionuț ANGHEL

“…The underperformance of LSTM and BiLSTM may be attributed to dataset limitations relative to deep learning requirements. …”
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An Improved Deep Learning-Based Technique for Driver Detection and Driver Assistance in Electric Vehicles with Better Performance by Gunapriya Balan, Singaravelan Arumugam, Suresh Muthusamy, Hitesh Panchal, Hossam Kotb, Mohit Bajaj, Sherif S. M. Ghoneim, null Kitmo

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Multi-dimensional perceptual recognition of tourist destination using deep learning model and geographic information system. by Shengtian Zhang, Yong Li, Xiaoxia Song, Chenghao Yang, Niusha Shafiabady, Robert M X Wu

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Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma by Tao Chen, Jialiang Wen, Xinchen Shen, Jiaqi Shen, Jiajun Deng, Mengmeng Zhao, Long Xu, Chunyan Wu, Bentong Yu, Minglei Yang, Minjie Ma, Junqi Wu, Yunlang She, Yifan Zhong, Likun Hou, Yanrui Jin, Chang Chen

“…In the current study, we developed a deep learning model based on histopathological images to predict the recurrence risk of lung adenocarcinoma patients. …”
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A real time monitoring system for accurate plant leaves disease detection using deep learning by Kazi Naimur Rahman, Sajal Chandra Banik, Raihan Islam, Arafath Al Fahim

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Design and Evaluation of a Hybrid Technique for Detecting Sunflower Leaf Disease Using Deep Learning Approach by Arun Malik, Gayatri Vaidya, Vishal Jagota, Sathyapriya Eswaran, Akash Sirohi, Isha Batra, Manik Rakhra, Evans Asenso

“…Previously, recognition and classification were carried out by hand, but this was a time-consuming operation. Nowadays, deep learning algorithms are frequently employed for recognition and classification tasks. …”
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Adaptive wavelet base selection for deep learning-based ECG diagnosis: A reinforcement learning approach. by Qiao Xiao, Chaofeng Wang

“…While wavelet-based feature extraction has demonstrated effectiveness in deep learning (DL)-based ECG diagnosis, selecting the optimal wavelet base poses a significant challenge, as it directly influences feature quality and diagnostic accuracy. …”
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Real-time detection and monitoring of public littering behavior using deep learning for a sustainable environment by Eaman Alharbi, Ghadah Alsulami, Sarah Aljohani, Waad Alharbi, Somayah Albaradei

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