Review of Deep Learning Algorithms and Architectures

Cited by (1,001)

Items 101–200 of 1,001

1. Diagnosis and prognosis of mental disorders by means of EEG and deep learning: a systematic mapping study
   Manuel J. Rivera, Miguel Ángel Teruel, Alejandro Maté, Juan Carlos Trujillo · 2021 · Artificial Intelligence Review
2. Deep learning for manufacturing sustainability: Models, applications in Industry 4.0 and implications
   Anbesh Jamwal, Rajeev Agrawal, Monica Sharma · 2022 · International Journal of Information Management Data Insights
3. Deep learning in electron microscopy
   Jeffrey M. Ede · 2020 · Machine Learning Science and Technology
4. Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks
   Parul Arora, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Abbas Khosravi · 2022 · IEEE Transactions on Industrial Informatics
5. A Mathematical Investigation of Hallucination and Creativity in GPT Models
   Lee, Minhyeok · 2023 · Mathematics
6. Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software
   José Luis Crossa, Johannes W. R. Martini, Paolo Vitale, Paulino Pérez‐Rodríguez, Germano Costa‐Neto, Roberto Fritsche‐Neto, Daniel E. Runcie, Jaime Cuevas, Fernando Henrique Ribeiro Barrozo Toledo, H. Li et al. · 2025 · Trends in Plant Science
7. Applications of deep learning into supply chain management: a systematic literature review and a framework for future research
   Fahimeh Hosseinnia Shavaki, Ali Ebrahimi Ghahnavieh · 2022 · Artificial Intelligence Review
8. A New Artificial Intelligence Approach Using Extreme Learning Machine as the Potentially Effective Model to Predict and Analyze the Diagnosis of Anemia
   Dimas Chaerul Ekty Saputra, Khamron Sunat, Tri Ratnaningsih · 2023 · Healthcare
9. Robust xEV Battery State-of-Charge Estimator Design Using a Feedforward Deep Neural Network
   Carlos Vidal, Phillip J. Kollmeyer, Mina Naguib, Pawel Malysz, Oliver Gross, Ali Emadi · 2020 · SAE International Journal of Advances and Current Practices in Mobility
10. Digital image watermarking using deep learning: A survey
    Khalid Mohamed Hosny, Amal Magdi, Osama M. Elkomy, Hanaa M. Hamza · 2024 · Computer Science Review
11. Data Mining Applications to Fault Diagnosis in Power Electronic Systems: A Systematic Review
    Arash Moradzadeh, Behnam Mohammadi‐Ivatloo, Kazem Pourhossein, Amjad Anvari‐Moghaddam · 2021 · IEEE Transactions on Power Electronics
12. High-Density Surface EMG-Based Gesture Recognition Using a 3D Convolutional Neural Network
    Jiangcheng Chen, Sheng Bi, George Zhang, Guangzhong Cao · 2020 · Sensors
13. Compressive Strength Prediction of High-Strength Concrete Using Long Short-Term Memory and Machine Learning Algorithms
    Honggen Chen, Xin Li, Yanqi Wu, Le Zuo, Mengjie Lu, Yisong Zhou · 2022 · Buildings
14. Rotating Machinery Fault Diagnosis Through a Transformer Convolution Network Subjected to Transfer Learning
    Xinglong Pei, Xiaoyang Zheng, Jinliang Wu · 2021 · IEEE Transactions on Instrumentation and Measurement
15. Advancements in remote sensing for active fire detection: A review of datasets and methods
    Songxi Yang, Qunying Huang, Manzhu Yu · 2024 · The Science of The Total Environment
16. Automatic Detection of Oral Squamous Cell Carcinoma from Histopathological Images of Oral Mucosa Using Deep Convolutional Neural Network
    Madhusmita Das, Rasmita Dash, Sambit Kumar Mishra · 2023 · International Journal of Environmental Research and Public Health
17. Multimodality in meta-learning: A comprehensive survey
    Yao Ma, Shilin Zhao, Weixiao Wang, Yaoman Li, Irwin King · 2022 · Knowledge-Based Systems
18. Oil Palm Tree Detection and Health Classification on High-Resolution Imagery Using Deep Learning
    Kanitta Yarak, Apichon Witayangkurn, Kunnaree Kritiyutanont, Chomchanok Arunplod, Ryosuke Shibasaki · 2021 · Agriculture
19. Deep Learning vs. Machine Learning for Intrusion Detection in Computer Networks: A Comparative Study
    Md Liakat Ali, Kutub Thakur, Suzanna Schmeelk, Joan E. DeBello, Denise M. Dragos · 2025 · Applied Sciences
20. Securing Internet of Things (IoT) with machine learning
    Sherali Zeadally, Michail Tsikerdekis · 2019 · International Journal of Communication Systems
21. A Layer-Wise Theoretical Framework for Deep Learning of Convolutional Neural Networks
    Huu-Thiet Nguyen, Sitan Li, Chien Chern Cheah · 2022 · IEEE Access
22. Advances of AI in image-based computer-aided diagnosis: A review
    Mst. Nilufa Yeasmin, Md Al Amin, Tasmim Jamal Joti, Zeyar Aung, Mohammad Abdul Azim · 2024 · Array
23. A Systematic Literature Review of Robust Federated Learning: Issues, Solutions, and Future Research Directions
    Md Palash Uddin, Yong Xiang, Mahmudul Hasan, Jun Bai, Yao Zhao, Longxiang Gao · 2025 · ACM Computing Surveys
24. Photonic and optoelectronic neuromorphic computing
    Luis El Srouji, A. Krishnan, R. Ravichandran, Y. Lee, Mehmet Berkay On, Xian Xiao, S. J. Ben Yoo · 2022 · APL Photonics
25. A Review of Vision-Based Pothole Detection Methods Using Computer Vision and Machine Learning
    Yashar Safyari, Masoud Mahdianpari, Hodjat Shiri · 2024 · Sensors
26. Droplet based microfluidics integrated with machine learning
    Sangam Srikanth, Satish Kumar Dubey, Arshad Javed, Sanket Goel · 2021 · Sensors and Actuators A Physical
27. Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality?
    Charuleka Varadharajan, Alison Appling, Bhavna Arora, Danielle Christianson, Valerie Hendrix, Vipin Kumar, Aranildo Rodrigues Lima Junior, Juliane Müller, Samantha K. Oliver, Mohammed Ombadi et al. · 2022 · Hydrological Processes
28. Deep Learning Models for Diagnosis of Schizophrenia Using EEG Signals: Emerging Trends, Challenges, and Prospects
    Rakesh Ranjan, Bikash Chandra Sahana, Ashish Kumar Bhandari · 2024 · Archives of Computational Methods in Engineering
29. AI in learning
    Hannele Niemi · 2021 · Journal of Pacific Rim Psychology
30. Development of a Multilayer Perceptron Neural Network for Optimal Predictive Modeling in Urban Microcellular Radio Environments
    Joseph Isabona, Agbotiname Lucky Imoize, Stephen Ojo, Olukayode Karunwi, Yongsung Kim, Cheng‐Chi Lee, Chun‐Ta Li · 2022 · Applied Sciences
31. Detection of epileptic seizure using EEG signals analysis based on deep learning techniques
    Ali H. Abdulwahhab, Alaa Hussein Abdulaal, Assad H. Thary Al-Ghrairi, Ali Abdulwahhab Mohammed, Morteza Valizadeh · 2024 · Chaos Solitons & Fractals
32. Transfer Learning with Fine-Tuned MobileNetV2 for Diabetic Retinopathy
    Rupa Patel, Anita Chaware · 2020 · International Conference for Emerging Technology (INCET)
33. Smart farming prediction models for precision agriculture: a comprehensive survey
    Dekera Kenneth Kwaghtyo, Christopher Ifeanyi Eke · 2022 · Artificial Intelligence Review
34. A Review of Deep Learning-Based Methods for Road Extraction from High-Resolution Remote Sensing Images
    Ruyi Liu, Junhong Wu, Wenyi Lu, Qiguang Miao, Huan Zhang, Xiangzeng Liu, Zixiang Lu, Long Li · 2024 · Remote Sensing
35. Attention mechanisms and deep learning for machine vision: A survey of the state of the art
    Abdul Mueed Hafiz, Shabir A. Parah, Rouf Ul Alam Bhat · 2021 · Research Square
36. Interpretable machine learning methods for predictions in systems biology from omics data
    David Sidak, Jana Schwarzerová, Wolfram Weckwerth, Steffen Waldherr · 2022 · Frontiers in Molecular Biosciences
37. Emerging applications of machine learning in genomic medicine and healthcare
    Narjice Chafai, L. Bonizzi, Sara Botti, Bouabid Badaoui · 2023 · Critical Reviews in Clinical Laboratory Sciences
38. Exploiting machine learning for bestowing intelligence to microfluidics
    Jiahao Zheng, Tim Cole, Yuxin Zhang, Jeeson Kim, Shi‐Yang Tang · 2021 · Biosensors and Bioelectronics
39. Moving Deep Learning to the Edge
    Mário Pereira Véstias, Rui Policarpo Duarte, José T. de Sousa, Horácio C. Neto · 2020 · Algorithms
40. A Review on Deep Learning Approaches for 3D Data Representations in Retrieval and Classifications
    Abubakar Sulaiman Gezawa, Yan Zhang, Qicong Wang, Yunqi Lei · 2020 · IEEE Access
41. Toward the Optimal Design and FPGA Implementation of Spiking Neural Networks
    Wenzhe Guo, Hasan Erdem Yantır, Mohammed E. Fouda, Ahmed M. Eltawil, Khaled Nabil Salama · 2021 · IEEE Transactions on Neural Networks and Learning Systems
42. Recent advances in deep learning models: a systematic literature review
    Ruchika Malhotra, Priya Singh · 2023 · Multimedia Tools and Applications
43. An ensemble deep learning technique for detecting suicidal ideation from posts in social media platforms
    Shini Renjith, Annie Abraham, Surya B. Jyothi, Lekshmi Chandran, Jincy Thomson · 2021 · Journal of King Saud University - Computer and Information Sciences
44. RETRACTED ARTICLE: A review on quantum computing and deep learning algorithms and their applications
    Fevrier Valdez, Patricia Melín · 2022 · Soft Computing · Retracted
45. An Ensemble Hybrid Framework: A Comparative Analysis of Metaheuristic Algorithms for Ensemble Hybrid CNN Features for Plants Disease Classification
    Khaoula Taji, Ali Sohail, Tariq Shahzad, Bilal Shoaib Khan, Muhammad Adnan Khan, Khmaies Ouahada · 2024 · IEEE Access
46. AutoML-ID: automated machine learning model for intrusion detection using wireless sensor network
    Abhilash Singh, J. Amutha, Jaiprakash Nagar, Sandeep Kumar Sharma, Cheng‐Chi Lee · 2022 · Scientific Reports
47. Deep Learning and Artificial Neural Networks for Spacecraft Dynamics, Navigation and Control
    Stefano Silvestrini, Michèle Roberta Lavagna · 2022 · Drones
48. Applications of Machine Learning in Networking: A Survey of Current Issues and Future Challenges
    Mohammad Azmi Ridwan, Nurul Asyikin Mohamed Radzi, Fairuz Abdullah, Yanti Erana Jalil · 2021 · IEEE Access
49. Detection of Non-Stationary GW Signals in High Noise From Cohen’s Class of Time–Frequency Representations Using Deep Learning
    Nikola Lopac, Franko Hržić, Irena Petrijevčanin Vuksanović, Jonatan Lerga · 2021 · IEEE Access
50. Different applications of machine learning approaches in materials science and engineering: Comprehensive review
    Yan Cao, Ali Taghvaie Nakhjiri, Mahdi Ghadiri · 2024 · Engineering Applications of Artificial Intelligence
51. Advances in diffusion models for image data augmentation: a review of methods, models, evaluation metrics and future research directions
    Panagiotis Alimisis, Ioannis Mademlis, Panagiotis I. Radoglou Grammatikis, Panagiotis G. Sarigiannidis, Georgios Th. Papadopoulos · 2025 · Artificial Intelligence Review
52. Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research Issues
    Alaa Awad Abdellatif, Naram Mhaisen, Amr Mahmoud Salem Mohamed, Aiman Erbad, Mohsen Guizani · 2023 · IEEE Internet of Things Journal
53. Prediction of stress-strain behavior of carbon fabric woven composites by deep neural network
    Dug-Joong Kim, Gyu-Won Kim, Jeong-Hyeon Baek, Byeunggun Nam, Hak‐Sung Kim · 2023 · Composite Structures
54. A review of deep learning in metal additive manufacturing: Impact on process, structure, and properties
    Yang Du, Tuhin Mukherjee, Runsheng Li, Zejiang Hou, Samik Dutta, Craig B. Arnold, Alaa H. Elwany, Sun‐Yuan Kung, Jiliang Tang, T. DebRoy · 2025 · Progress in Materials Science
55. Three novel quantum-inspired swarm optimization algorithms using different bounded potential fields
    Manuel S. Alvarez‐Alvarado, Francisco E. Alban-Chacón, Erick Lamilla, Carlos David Rodriguez Gallegos, Washington Velásquez · 2021 · Scientific Reports
56. An Overview of Deep Learning Techniques on Chest X-Ray and CT Scan Identification of COVID-19
    Serena Low Woan Ching, Joon Huang Chuah, Clarence Augustine TH Tee, Shazia Anis, Muhammad Ali Shoaib, Faisal Amir, Azira Khalil, Khin Wee Lai · 2021 · Computational and Mathematical Methods in Medicine
57. Machine learning techniques for mortality prediction in emergency departments: a systematic review
    Amin Naemi, Thomas Schmidt, Marjan Mansourvar, Mohammad Naghavi‐Behzad, Ali Ebrahimi, Uffe Kock Wiil · 2021 · BMJ Open
58. Stochastic physics-informed neural ordinary differential equations
    Jared O'Leary, Joel A. Paulson, Ali Mesbah · 2022 · Journal of Computational Physics
59. Cyber Attacks in Cyber-Physical Microgrid Systems: A Comprehensive Review
    Sriranga Suprabhath Koduru, Venkata siva Prasad Machina, Sreedhar Madichetty · 2023 · Energies
60. Three-Dimensional Analysis of Particle Distribution on Filter Layers inside N95 Respirators by Deep Learning
    Hye Ryoung Lee, Lei Liao, Xiao Wang, Artūras Vailionis, Antonio J. Ricco, Robin White, Yoshio Nishi, Wah Chiu, Steven Chu, Yi Cui · 2020 · Nano Letters
61. Deep Learning with Neuroimaging and Genomics in Alzheimer’s Disease
    Eugene Lin, Chieh‐Hsin Lin, Hsien‐Yuan Lane · 2021 · International Journal of Molecular Sciences
62. Microalgae identification: Future of image processing and digital algorithm
    Jun Wei Roy Chong, Kuan Shiong Khoo, Kit Wayne Chew, Dai‐Viet N. Vo, Balakrishnan Deepanraj, FAWZI A. BANAT, Heli Siti Halimatul Munawaroh, Koji Iwamoto, Pau Loke Show · 2022 · Bioresource Technology
63. The use of artificial intelligence for automating or semi-automating biomedical literature analyses: A scoping review
    Álisson Oliveira dos Santos, Eduardo Sérgio da Silva, Letícia Machado Couto, Gustavo Valadares Labanca Reis, Viní­cius Silva Belo · 2023 · Journal of Biomedical Informatics
64. Auto-attention mechanism for multi-view deep embedding clustering
    Bassoma Diallo, Jie Hu, Tianrui Li, Ghufran Ahmad Khan, Xinyan Liang, Hongjun Wang · 2023 · Pattern Recognition
65. A review on the recent applications of deep learning in predictive drug toxicological studies
    Sinha, Krishnendu, Ghosh, Nabanita, Sil, Parames C. · 2023 · Chemical Research in Toxicology
66. Automatic Windthrow Detection Using Very-High-Resolution Satellite Imagery and Deep Learning
    D. Kislov, K. Korznikov · 2020 · Remote Sensing
67. UrduDeepNet: offline handwritten Urdu character recognition using deep neural network
    Faisel Mushtaq, Muzafar Mehraj Misgar, Munish Kumar, Surinder Singh Khurana · 2021 · Neural Computing and Applications
68. Developing a Recognition System for Diagnosing Melanoma Skin Lesions Using Artificial Intelligence Algorithms
    Fawaz Waselallah Alsaade, Theyazn H. H. Aldhyani, Mosleh Hmoud Al-Adhaileh · 2021 · Computational and Mathematical Methods in Medicine
69. Integrated Multi-Head Self-Attention Transformer model for electricity demand prediction incorporating local climate variables
    Sujan Ghimire, Thong Nguyen‐Huy, Mohanad S. AL‐Musaylh, Ravinesh Chand Deo, David Casillas-Pérez, Sancho Salcedo‐Sanz · 2023 · Energy and AI
70. A Scalo Gram-Based CNN Ensemble Method With Density-Aware SMOTE Oversampling for Improving Bearing Fault Diagnosis
    Muhammad Irfan, Zohaib Mushtaq, Nabeel Ahmed Khan, Salim Nasar Faraj Mursal, Saifur Rahman, Muawia Abdelkafi Magzoub, Muhammad Armghan Latif, Faisal Althobiani, Imran Khan, Ghulam Abbas · 2023 · IEEE Access
71. Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation
    Jakub Nalepa, Marek Antoniak, Michał Myller, Pablo Ribalta Lorenzo, Michal Marcinkiewicz · 2020 · Microprocessors and Microsystems
72. Deep Learning for Fault Diagnostics in Bearings, Insulators, PV Panels, Power Lines, and Electric Vehicle Applications—The State-of-the-Art Approaches
    K. Mohana Sundaram, Azham Hussain, Sanjeevikumar Padmanaban, Jens Bo Holm‐Nielsen, Vishnu Kumar Kaliappan, B. Kavya Santhoshi · 2021 · IEEE Access
73. Recent developments in computer vision and artificial intelligence aided intelligent robotic welding applications
    Berkay Eren, Mehmet Hakan Demir, Selçuk Mıstıkoğlu · 2023 · The International Journal of Advanced Manufacturing Technology
74. A Novel Methodology for Unsupervised Anomaly Detection in Industrial Electrical Systems
    Marco Carratù, Vincenzo Gallo, Salvatore Dello Iacono, Paolo Sommella, Alessandro Bartolini, Francesco Grasso, Lorenzo Ciani, Gabriele Patrizi · 2023 · IEEE Transactions on Instrumentation and Measurement
75. HF-SPHR: Hybrid Features for Sustainable Physical Healthcare Pattern Recognition Using Deep Belief Networks
    Madiha Javeed, Munkhjargal Gochoo, Ahmad Jalal, Kibum Kim · 2021 · Sustainability
76. Novel coronavirus (COVID-19) diagnosis using computer vision and artificial intelligence techniques: a review
    Anuja Bhargava, Atul Bansal · 2021 · Multimedia Tools and Applications
77. Towards an Interpretable Autoencoder: A Decision-Tree-Based Autoencoder and its Application in Anomaly Detection
    Diana Laura Aguilar, Miguel Angel Medina‐Pérez, Octavio Loyola‐González, Kim‐Kwang Raymond Choo, Edoardo Bucheli-Susarrey · 2022 · IEEE Transactions on Dependable and Secure Computing
78. Courtyard design impact on indoor thermal comfort and utility costs for residential households: Comparative analysis and deep-learning predictive model
    Amir Tabadkani, Sara Aghasizadeh, Saeed Banihashemi, Aso Hajirasouli · 2022 · Frontiers of Architectural Research
79. A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram
    Musa Nehemiah, Abdulsalam Ya’u Gital, Nahla Aljojo, Haruna Chiroma, Kayode S. Adewole, Hammed A. Mojeed, Nasir Faruk, Abubakar Abdulkarim, Ifada Emmanuel, Yusuf Y. Folawiyo et al. · 2022 · Journal of Ambient Intelligence and Humanized Computing
80. A review on lung disease recognition by acoustic signal analysis with deep learning networks
    Alyaa Hamel Sfayyih, Nasri Sulaiman, Ahmad H. Sabry · 2023 · Journal Of Big Data
81. Prognostics and Health Management of Rotating Machinery of Industrial Robot with Deep Learning Applications—A Review
    Prashant Kumar, Salman Khalid, Heung Soo Kim · 2023 · Mathematics
82. Impact of Deep Learning and Smartphone Technologies in Dermatology: Automated Diagnosis
    Evgin Göçeri · 2020 · International Conference on Image Processing Theory, Tools and Applications (IPTA)
83. Development of a Light-Weight Unmanned Aerial Vehicle for Precision Agriculture
    Uchechi Faithful Ukaegbu, Lagouge Kwanda Tartibu, Modestus Okechukwu Okwu, Isaac Oyeyemi Olayode · 2021 · Sensors
84. Combining artificial and human intelligence to manage cross-cultural knowledge in humanitarian logistics: a Yin–Yang dialectic systems view of knowledge creation
    Tachia Chin, T.C.E. Cheng, Chenhao Wang, Lei Huang · 2024 · Journal of Knowledge Management
85. Deep Learning-Assisted Short-Term Load Forecasting for Sustainable Management of Energy in Microgrid
    Arash Moradzadeh, Hamed Moayyed, Sahar Zakeri, Behnam Mohammadi‐Ivatloo, A. Pedro Aguiar · 2021 · Inventions
86. Online dynamic security assessment of wind integrated power system using SDAE with SVM ensemble boosting learner
    Rizwan ul Hassan, Changgang Li, Yutian Liu · 2020 · International Journal of Electrical Power & Energy Systems
87. A Novel Computer Vision Model for Medicinal Plant Identification Using Log-Gabor Filters and Deep Learning Algorithms
    Stephen Opoku Oppong, Frimpong Twum, James Ben Hayfron-Acquah, Yaw Marfo Missah · 2022 · Computational Intelligence and Neuroscience
88. Improving Bearing Fault Identification by Using Novel Hybrid Involution-Convolution Feature Extraction With Adversarial Noise Injection in Conditional GANs
    Muhammad Irfan, Zohaib Mushtaq, Nabeel Ahmed Khan, Faisal Althobiani, Salim Nasar Faraj Mursal, Saifur Rahman, Muawia Abdelkafi Magzoub, Muhammad Armghan Latif, Imran Khan · 2023 · IEEE Access
89. Enhancing Performance of a Deep Neural Network: A Comparative Analysis of Optimization Algorithms
    Noor E Fatima · 2020 · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL
90. Advances Towards Automatic Detection and Classification of Parasites Microscopic Images Using Deep Convolutional Neural Network: Methods, Models and Research Directions
    Satish Kumar, Tasleem Arif, Abdullah Shawan Alotaibi, Majid Bashir Malik, Jatinder Manhas · 2022 · Archives of Computational Methods in Engineering
91. Deep learning methods in metagenomics: a review
    Gaspar Roy, Edi Prifti, Eugeni Belda, Jean‐Daniel Zucker · 2024 · Microbial Genomics
92. A review on evaluating mental stress by deep learning using EEG signals
    Yara Badr, Usman Tariq, Fares Al-Shargie, Fabio Babiloni, Fadwa Al Mughairbi, Hasan A. Al-Nashash · 2024 · Neural Computing and Applications
93. Machine learning-enabled identification of new medium to high entropy alloys with solid solution phases
    Ujjawal Kumar Jaiswal, Yegi Vamsi Krishna, M.R. Rahul, Gandham Phanikumar · 2021 · Computational Materials Science
94. A survey on deep reinforcement learning architectures, applications and emerging trends
    Surjeet Balhara, Nishu Gupta, Ahmed Hussein Alkhayyat, Isha Bharti, R. Q. Malik, Sarmad Nozad Mahmood, Firas Abedi · 2022 · IET Communications
95. Energy management system optimization based on an LSTM deep learning model using vehicle speed prediction
    Luca Pulvirenti, Luciano Rolando, Federico Millo · 2023 · Transportation Engineering
96. User-friendly and industry-integrated AI for medicinal chemists and pharmaceuticals
    Olga Kapustina, Polina Burmakina, Nina Gubina, Nikita Serov, Vladimir V. Vinogradov · 2024 · Artificial Intelligence Chemistry
97. DRL‐Based Intelligent Resource Allocation for Diverse QoS in 5G and toward 6G Vehicular Networks: A Comprehensive Survey
    Hoa TT. Nguyen, Minh Tuấn Nguyễn, Hai T. Do, Hoang T. Hua, Cuong V. Nguyen · 2021 · Wireless Communications and Mobile Computing
98. Cross-layer transmission realized by light-emitting memristor for constructing ultra-deep neural network with transfer learning ability
    Zhenjia Chen, Zhenyuan Lin, Ji Yang, Cong Chen, Di Liu, Liuting Shan, Yuanyuan Hu, Tailiang Guo, Huipeng Chen · 2024 · Nature Communications
99. Collaboration with machines in B2B marketing: Overcoming managers' aversion to AI-CRM with explainability
    Piotr Gaczek, Grzegorz Leszczyński, Amira Mouakher · 2023 · Industrial Marketing Management
100. Deep Learning for State of Health Estimation of Lithium-Ion Batteries in Electric Vehicles: A Systematic Review
     Chenyuan Liu, Heng Li, Kexin Li, Yue Wu, Baogang Lv · 2025 · Energies