Review of Deep Learning Algorithms and Architectures

Cited by (1,001)

Items 801–900 of 1,001

1. A parallel framework of physics-informed neural networks for model identification of linear and nonlinear systems
   Nikhil Mahar, Subhamoy Sen, Laurent Mevel · 2025 · Structures
2. Deep Learning in Slope Stability Analysis: Evolution, Challenges, and Future Directions
   Dejian Li, Zheng Wang, Hongjun Guo, Yingbin Zhang, Xiao Yu Cheng, Qiangshan Yu · 2025 · Geotechnical and Geological Engineering
3. Machine-Learned Molecular Surface and Its Application to Implicit Solvent Simulations
   Haixin Wei, Zekai Zhao, Ray Luo · 2021 · Journal of Chemical Theory and Computation
4. Lung Images Segmentation and Classification Based on Deep Learning: A New Automated CNN Approach
   Wessam M. Salama, Moustafa H. Aly, Azza M. Elbagoury · 2021 · Journal of Physics Conference Series
5. Remaining Useful Life Prediction of Lithium Battery via Neural Network Ensemble
   Hengshan Zhang, Di Wu, Zhongmin Wang, Yanping Chen, Jiaxuan Xu · 2021 · International Conference on Intelligent Systems and Knowledge Engineering (ISKE)
6. Data mining and mathematical models in cancer prognosis and prediction
   Chong Yu, Jin Wang · 2022 · Medical Review
7. Hate Speech and Abusive Laungage Detection In Twitter and Challenges: Review
   Ruba Alhejaili, Wael M. S. Yafooz, Abdullah Alsaeedi · 2022 · International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES)
8. Performance analysis of various training algorithms of deep learning based controller
   Bhawesh Prasad, Raj Kumar, Manmohan Singh · 2023 · Engineering Research Express
9. Reconstructing Images Through Multimode Fibers From the Up-Conversion Speckle Patterns via Deep Learning
   Yanzhu Zhang, Hao Wu, He Zhao, Yong Chen · 2023 · IEEE Access
10. Thermal Aware Floorplan Optimization of SoC in Mobile Phone
    Youngsang Cho, Heonwoo Kim, Kyoungmin Lee, Yunhyeok Im, Heeseok Lee, Min Kyu Kim · 2023 · I-THERM :/I-THERM - Intersociety Conference on Thermal Phenomena in Electronic Systems
11. Electrochemical Impedance Spectroscopy (EIS) and Machine Learning based Battery State of Health (SoH) Estimation
    Masuda Akter Tonima, Austin DeHart, Deniz Tabakci, Piramon Tisapramotkul, Andrew Munro-West, Aarushi Mehra, Tina Shoa · 2023 · IEEE Conference on Prognostics and Health Management
12. DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data
    Elena Panizza · 2023 · Journal of Visualized Experiments
13. Using deep learning methods for IACT data analysis in gamma-ray astronomy: A review
    Andrey P. Demichev, A. P. Kryukov · 2024 · Astronomy and Computing
14. Investigating a three-dimensional convolution recognition model for acoustic emission signal analysis during uniaxial compression failure of coal
    Tao Wang, Zishuo Liu, Liyuan Liu · 2024 · Geomatics Natural Hazards and Risk
15. Deep learning algorithms for IoT security(survey)
    Hiba Hameed Ali, Jolan Rokan Naif, Waleed Rasheed Humood · 2024 · AIP conference proceedings
16. Weighted error-output recurrent Xavier echo state network for concept drift handling in water level prediction
    Zong-Ying Liu, Wen-Ru Zhang, Ming-Yang Pan, C. Loo, Kitsuchart Pasupa · 2024 · Applied Soft Computing
17. Transformer Neural Networks for Intrusion Diagnostic Unit (IDU) and Anomaly Detection in Distributed Energy Resources (DERs)
    Shree Ram Abayankar Balaji, T. Hassan, Akshay Ram Ramchandra, Prakash Ranganathan, Siby Jose Plathottam, Kumarsinh Jhala · 2024 · International Conference on Electrical Engineering and Green Energy (CEEGE)
18. Malaria parasite segmentation using U-Net: Comparative study of loss functions
    Julisa Bana Abraham · 2019 · Communications in Science and Technology
19. GPS Continues Wave Jamming Canceller using an ANF Combined with an Artificial Neural Network
    M. Abbasi, Mohammad Reza Mosavi, Mohammad Javad Reazei · 2020 · Iranian Joint Congress on Fuzzy and Intelligent Systems
20. Universal uncertainty estimation for nuclear detector signals with neural networks and ensemble learning
    Peng Ai, Zhidong Deng, Y. Wang, Chengshuo Shen · 2022 · Journal of Instrumentation
21. Artificial Intelligence in Biometrics: Uncovering Intricacies of Human Body and Mind
    Marina L. Gavrilova, Iryna Luchak, Tanuja Sudhakar, Sanjida Nasreen Tumpa · 2022 · Learning and analytics in intelligent systems
22. Computational Methods for Parameter Identification in 2D Fractional System with Riemann–Liouville Derivative
    Rafał Brociek, Agata Wajda, Grazia Lo Sciuto, Damian Słota, Giacomo Capizzi · 2022 · Sensors
23. A Study on Gear Defect Detection via Frequency Analysis Based on DNN
    Jeonghyeon Kim, Jonghoek Kim, Hyuntai Kim · 2022 · Machines
24. Stochastic modeling of inhomogeneities in the aortic wall and uncertainty quantification using a Bayesian encoder–decoder surrogate
    Sascha Ranftl, Malte Rolf‐Pissarczyk, Gloria Wolkerstorfer, Antonio Pepe, Jan Egger, Wolfgang von der Linden, Gerhard A. Holzapfel · 2022 · Computer Methods in Applied Mechanics and Engineering
25. Multistage approach for automatic target detection and recognition in infrared imagery using deep learning
    Nada Baili, Mahdi Moalla, Hichem Frigui, Andrew Karem · 2022 · Journal of Applied Remote Sensing
26. Object Detection: Algorithms and Prospects
    Yinuo Cao, Haochen Wang · 2022 · International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI)
27. Lung CT Image Segmentation: A Generalized Framework Based on U-Net Architecture and Preprocessing Models
    Wessam M. Salama, Moustafa H. Aly · 2021 · International Conference on Computer Theory and Applications (ICCTA)
28. Automatic Segmentation of Organs-at-Risk in Thoracic Computed Tomography Images Using Ensembled U-Net InceptionV3 Model
    Malvika Ashok, Abhishek Gupta · 2023 · Journal of Computational Biology
29. Signal Detection in NOMA Systems using DNN with Bidirectional LSTM
    Bibekananda Panda, Poonam Singh · 2022 · Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON)
30. A Scoping Review of Current Developments in the Field of Machine Learning and Artificial Intelligence
    Santhosh Kumar Rajamani, Radha Srinivasan Iyer · 2023 · Advances in wireless technologies and telecommunication book series
31. Soft computational approach on the thermoelastic assessment of the sandwich beams with transversely functionally graded composite concrete face-sheets as an advanced building material
    Dan Li, Peng Wang, Nadia M. Sarhan, M. Sharaf · 2023 · Mechanics of Advanced Materials and Structures
32. An Improved Framework for Sentiment Analysis for College Reviews
    Sri Devi T · 2020 · International Journal of Advanced Trends in Computer Science and Engineering
33. Pyramidal Part-Based Model for Partial Occlusion Handling in Pedestrian Classification
    May Thu, Nikom Suvonvorn · 2020 · Advances in Multimedia
34. Predicting Cervical Spine Compression and Shear in Helicopter Helmeted Conditions Using Artificial Neural Networks
    Christopher A. B. Moore, Jeffery M. Barrett, Laura A. Healey, Jack P. Callaghan, Steven L. Fischer · 2021 · IISE Transactions on Occupational Ergonomics and Human Factors
35. Depth-Adaptive Deep Neural Network Based on Learning Layer Relevance Weights
    Arwa Alturki, Ouiem Bchir, Mohamed Maher Ben Ismail · 2022 · Applied Sciences
36. Optimal prediction and validation of Johnson-Cook failure model for Al 6061 using genetic algorithm
    Gyeong-Han Lee, Jun-Woo Baek, Jae Yun Lim, Sangwoo Kim, Sooyong Lee · 2024 · Journal of Mechanical Science and Technology
37. Artificial Intelligence-Assisted Microfluidic Bio-Imaging—From Sensors to Applications: A Review
    Jin Chen, L. P. Fu, Rikui Xiang, Shaobo Luo, Xiwei Huang, Hao Yu, Lingling Sun · 2024 · IEEE Sensors Journal
38. Comparative analysis of machine learning and deep learning algorithms for knee arthritis detection using YOLOv8 models
    İlkay Çınar · 2025 · Journal of X-Ray Science and Technology
39. Ultrawideband Non-Line-of-Sight Classification Using Transformer-Convolutional Neural Networks
    Hae-Ji Hwang, Seon-Geun Jeong, Won–Joo Hwang · 2025 · IEEE Access
40. Predicting plant uptake of potential contaminants of emerging concerns using machine learning models (2018–2025): A global review
    Alexis Munyengabe, Maria Fezile Banda, Wilma A. Augustyn · 2025 · Results in Engineering
41. Application of machine learning-based AI in defect monitoring of earth retaining structures and tunnels of transport systems: A review
    Md. Zahidul Islam, Chin Jian Leo, Ju Jia Zou, Eileen An, Samanthika Liyanapathirana, Hu Pan, Bo Xiao, Stanley Yuen · 2025 · Transportation Engineering
42. Quantum-AI Hybrid Algorithms for Solving Large-Scale Engineering Problems Using LLM-Driven Optimizations
    Anil Kumar Jonnalagadda, Sudeep Acharya, Venkata Reddy Pasam, Rohan Shahane · 2025 · International Conference on Intelligent Technologies (CONIT)
43. The Evolution of Deep Learning: Models, Applications, and Future Directions
    Ayman Elshenawy, Ayman Mohammed, Saeed Hamouda · 2025 · International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC)
44. Enhancing breast cancer detection accuracy through machine learning, deep learning and transfer learning techniques for clinical practice
    Jothi Ganesan, Vaanpriya Krishnan, Thirumalaisamy Rathinavel, K. S. Shalini, T. Selvankumar, M. Gomathi, Shanmugavel Uma Maheswari, Ameer Kalandar · 2025 · Discover Artificial Intelligence
45. Global sensitivity analyses of a neural networks model for a flotation circuit
    Manuel Saldaña, Luis Ayala, David Torres, Norman Toro · 2020 · Hemijska industrija
46. A Parametric Lossy Compression Techniques for Biosignals: A Review
    Evangelin Dasan, Rajakumar Gnanaraj · 2022 · Wireless Personal Communications
47. Real-Time Application of Traffic Sign Recognition Algorithm with Deep Learning
    Faruk Emre Aysal, Kasım YILDIRIM, Enes Cengiz · 2022 · Journal of Materials and Mechatronics A
48. Deep learning Feedforward Neural Network in predicting model of Environmental risk factors in the Sohar region
    YUSRA KHAMIS, Jabar H. Yousif · 2023 · Artificial Intelligence & Robotics Development Journal
49. Technical note: Progressive deep learning: An accelerated training strategy for medical image segmentation
    Byongsu Choi, Sven Olberg, Justin Chunjoo Park, Jin Sung Kim, Deepak K. Shrestha, Sridhar Yaddanapudi, Keith M. Furutani, Chris J Beltran · 2023 · Medical Physics
50. Principles And Applications of Artificial Intelligence (AI) Algorithms: A Review of The Literature
    James J. Wang · 2023 · Highlights in Science Engineering and Technology
51. Severity identification for internet gaming disorder using heart rate variability reactivity for gaming cues: a deep learning approach
    Sung Jun Hong, Deokjong Lee, Jinsick Park, Tae-Kyung Kim, Young‐Chul Jung, Young‐Min Shon, In Young Kim · 2023 · Frontiers in Psychiatry
52. A Distribution Network State Estimation Method With Non-Gaussian Noise Based on Parallel Particle Filter
    Haotian Ma, Wanxing Sheng, Keyan Liu · 2023 · IEEE Access
53. Current implications and challenges of artificial intelligence technologies in therapeutic intervention of colorectal cancer
    Kriti Das, Maanvi Paltani, Pankaj Kumar Tripathi, Rajnish Kumar, Saniya Verma, Subodh Kumar, Chakresh Kumar Jain · 2023 · Exploration of Targeted Anti-tumor Therapy
54. Convolution Neural Networks for Disease Prediction: Applications and Challenges
    Snowber Mushtaq, Omkar Singh · 2024 · Scalable Computing Practice and Experience
55. A novel approach for extracting contact impedance of electrode/electrolyte interface by minimizing error between impulse response and system function
    Inyeol Yun, Jinpyeo Jeung, Yoonyoung Chung · 2024 · Measurement
56. Social robot assisted music course based on speech sensing and deep learning algorithms
    Dan Xiao · 2024 · Entertainment Computing
57. Transformative artificial intelligence in gastric cancer: Advancements in diagnostic techniques
    Mobina Khosravi, Seyedeh Kimia Jasemi, Parsa Hayati, Hamid Akbari Javar, Saadat Izadi, Zhila Izadi · 2024 · Computers in Biology and Medicine
58. Data‐driven virtual power plant bidding package model and its application to virtual VCG auction‐based real‐time power market
    Xinhe Chen, Wei Pei, Deng Wei, Xiao Hao · 2020 · IET Smart Grid
59. Exploiting Non-conventional DVFS on GPUs: Application to Deep Learning
    Francisco Mendes, Pedro Tomás, Nuno Roma · 2020 · International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)
60. Hierarchical Transfer Learning for Text-to-Speech in Indonesian, Javanese, and Sundanese Languages
    Kurniawati Azizah, Mirna Adriani · 2020 · International Conference on Advanced Computer Science and Information Systems
61. Improving Handwritten Arabic Text Recognition Using an Adaptive Data-Augmentation Algorithm
    Mohamed Eltay, Abdelmalek Zidouri, Irfan Ahmad, Yousef Elarian · 2021 · Lecture notes in computer science
62. State-of-Health Prediction for Reaction Wheel of On-Orbit Satellite Based on Fourier Broad Learning System
    Xingliu Zhang, Zili Wang, Jian Ma, Shangyu Li, Mingliang Suo · 2021 · IEEE Access
63. CSNM: The Compartmental Spiking Neuron Model for Developing Neuromorphic Information Processing Systems
    Бахшиев Александр Валерьевич, Alexandra Demcheva, Lev A. Stankevich · 2021 · Studies in computational intelligence
64. Research on Face Recognition Algorithm Based on Deep Learning
    Yi Wang, Xinwei Duan · 2021 · IEEE International Conference on Communication Technology (ICCT)
65. Detection and Classification of Defects in Ultrasonic Testing Using Deep Learning
    Pranav Pawar, Rajesh Buktar · 2022 · Lecture notes in networks and systems
66. Deep Learning Method for Classifying Thyroid Nodules Using Ultrasound Images
    S PAVITHRA, G. Yamuna, R. Arunkumar · 2022 · International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)
67. A robust optimized convolutional neural network model for human activity recognition using sensing devices
    Mohamed Maher Ata, Mariam Labib Francies, Mohamed A. Mohamed · 2022 · Concurrency and Computation Practice and Experience
68. A wheel slip control scheme for aeronautical braking applications based on neural network estimation
    Gianluca Papa, Pierdomenico Schiano, Mara Tanelli, Giulio Panzani, Sergio M. Savaresi · 2022 · European Journal of Control
69. Iterative excitation with noise rejection techniques for X-ray computed tomography of hollow turbine blades
    Fuqiang Yang, Dinghua Zhang, Kuidong Huang, Yao Yang · 2022 · Nondestructive Testing And Evaluation
70. Sustainable Oil Palm Resource Assessment Based on an Enhanced Deep Learning Method
    Xinni Liu, Kamarul Hawari Ghazali, Akeel Abbas Shah · 2022 · Energies
71. Image-Based Classification of Double-Barred Beach States Using a Convolutional Neural Network and Transfer Learning
    Stan C. M. Oerlemans, Wiebe Nijland, Ashley N. Ellenson, Timothy David Price · 2022 · Remote Sensing
72. White Blood Cell Classification of Porcine Blood Smear Images
    Jemima Louise U. Novia, Jacqueline Rose T. Alipo-on, Francesca Isabelle F. Escobar, Myles Joshua Toledo Tan, Hezerul Bin Abdul Karim, Nouar AlDahoul · 2022 · Lecture notes in computer science
73. Air pollution prediction and hotspot detection using machine learning
    Shailee Bhatia, Shelly Sachdeva, Puneet Goswami · 2022 · Journal of Statistics and Management Systems
74. Long Short-Term Memory Recurrent Neural Network Approach for Approximating Roots (Eigen Values) of Transcendental Equation of Cantilever Beam
    Madiha Bukhsh, Muhammad Saqib Ali, Abdullah Alourani, Khlood Shinan, Muhammad Usman Ashraf, Abdul Jabbar, Weiqiu Chen · 2023 · Applied Sciences
75. Left atrial overload detection in ECG using frequency domain features with machine learning and deep learning algorithms
    Serkan Uslu, Nihal Öztürk, Selçuk Küçükseymen, Semir Özdemir · 2023 · Biomedical Signal Processing and Control
76. Standard-based personalized healthcare delivery for kidney illness using deep learning
    Shelly Sachdeva · 2023 · Physiological Measurement
77. Optimizing the Architecture of Convolutional Neural Networks Using Modified Salp Swarm Algorithm
    Entesar H. Abdulsaed, Maytham Alabbas, Raidah Salim Khudeyer · 2024 · Journal of Al-Qadisiyah for Computer Science and Mathematics
78. Combined CNN-LSTM Deep Learning Algorithms for Recognizing Human Physical Activities in Large and Distributed Manners: A Recommendation System
    Ameni Ellouze, Nesrine Kadri, Alaa Alaerjan, Mohamed Ksantini · 2024 · Computers, materials & continua/Computers, materials & continua (Print)
79. Secure Framework for Cloud based E-Education using Deep Neural Networks
    K. Devi Priya, L Sumalatha · 2021 · International Conference on Intelligent Engineering and Management (ICIEM)
80. Using Convolutional Neural Networks on Satellite Images to Predict Poverty
    Arwa Okaidat, Shatha Melhem, Heba Alenezi, Rehab Duwairi · 2021 · International Conference on Information and Communication Systems (ICICS)
81. Prediction of antischistosomal small molecules using machine learning in the era of big data
    Samuel K. Kwofie, Kwasi Agyenkwa-Mawuli, Emmanuel Broni, Whelton A. Miller, Michael D. Wilson · 2021 · Molecular Diversity
82. Decoupling GPGPU voltage-frequency scaling for deep-learning applications
    Francisco Mendes, Pedro Tomás, Nuno Roma · 2022 · Journal of Parallel and Distributed Computing
83. Machine Learning and Deep Learning Methods for Building Intelligent Systems in Medicine and Drug Discovery: A Comprehensive Survey
    G. Jignesh Chowdary, G. Suganya, M. Premalatha, Y. Asnath Victy Phamila, K. Karunamurthy · 2021 · arXiv (Cornell University)
84. Cyber-attacks in Cyber-Physical Microgrid Systems: A Comprehensive Review
    Sriranga Suprabhath Koduru, Venkata siva Prasad Machina, Sreedhar Madichetty · 2023 · Preprints.org
85. Machine Learning and Deep Learning
    Ramasamy Kandasamy Jeyachitra, Subramaniyan Manochandar · 2023 · Wiley eBooks
86. Air Quality Index Prediction Using DNN-Markov Modeling
    Roba Zayed, Maysam Abbod · 2024 · Applied Artificial Intelligence
87. Evaluation of fragility fracture risk using deep learning based on ultrasound radio frequency signal
    Wenqiang Luo, Jionglin Wu, Zhiwei Chen, Peidong Guo, Qi Zhang, Baiying Lei, Zhong Chen, Shixun Li, Changchuan Li, Haoxian Liu et al. · 2024 · Endocrine
88. Estimation of the axial capacity of high-strength concrete-filled steel tube columns using artificial neural network, random forest, and extreme gradient boosting approaches
    Payam Sarir, Anat Ruangrassamee, Mitsuyasu Iwanami · 2024 · Frontiers of Structural and Civil Engineering
89. Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks
    Luiza Lober, M. S. Palmero, F. A. Rodrigues · 2025 · Physical review. E
90. Privacy-Preserving Process-Defect modelling for Metal-Based additive manufacturing Processes: A Federated learning-based case study
    Shengzhe Zhou, Wenmeng Tian · 2025 · Manufacturing Letters
91. Mapping Contemporary AI-Education Intersections and Developing an Integrated Convergence Framework: A Bibliometric-Driven and Inductive Content Analysis
    Ali, Muhammad, Ma, Ming, Muneeb, Mian, Wong, Gary K. W. · 2025 · Metrics
92. Transformer-based and CNN-based models for clinically effective 2D and 3D pelvic bone segmentation in CT imaging
    Shabnam Jafarpoor Nesheli, Maryam Sabet, Abolfazl Koozari, Parvin Sadat Mirzaghavami, Alireza Eftekhar, Mohammadreza Elhaie, Saleh Rouhi, Najme Janghorban Lariche, Maryam Abidi, Seyed Masoud Rezaeijo · 2025 · BMC Musculoskeletal Disorders
93. Pre-visual soilborne common root rot disease detection in wheat using UAV multispectral imagery and Deep Neural Networks
    Yiyi Xiong, Cheryl L. McCarthy, Jacob A. Humpal, Cassandra D. Percy · 2026 · Biosystems Engineering
94. Feasibility of Data-Driven, Model-Free Quantitative MRI Protocol Design: Application to Brain and Prostate Diffusion-Relaxation Imaging
    Francesco Grussu, Stefano B. Blumberg, Marco Battiston, Lebina S. Kakkar, Hongxiang Lin, Andrada Ianuș, Torben Schneider, Saurabh Singh, Roger Bourne, Shonit Punwani et al. · 2021 · Frontiers in Physics
95. Deep learning models for analysis of non‐destructive evaluation data to evaluate reinforced concrete bridge decks: A survey
    Dayakar Naik Lavadiya, Sattar Dorafshan · 2022 · Engineering Reports
96. Data-driven based ultrasonics analysis for evaluating the bond strength of concrete layers
    Pooria Khademi, Vahab Toufigh · 2023 · Ultrasonics
97. RLGrid: Reinforcement Learning Controlled Grid Deformation for Coarse-to-Fine Point Cloud Completion
    Shanshan Li, Pan Gao, Xiaoyang Tan, Wei Xiang · 2023 · IEEE Transactions on Multimedia
98. CSG compressive strength prediction based on LSTM and interpretable machine learning
    Qingqing Tian, Hang Gao, Lei Guo, Zexuan Li, Qiongyao Wang · 2023 · REVIEWS ON ADVANCED MATERIALS SCIENCE
99. Implementing generative adversarial networks for increasing performance of transmission fault classification
    Tilottama Goswami, Uponika Barman Roy, Deepthi Kalavala, Mukesh Kumar Tripathi · 2024 · Indonesian Journal of Electrical Engineering and Computer Science
100. Towards the Development of an Automated Assessment System for the Fundamentals of Laparoscopic Surgery Tests
     Mohsen Mohaidat, Fatemeh Rashidi Fathabadi, Koloud N. Alkhamaiseh, Janos L. Grantner, Saad A Shebrain, Ikhlas M. Abdel-Qader · 2024 · Acta Polytechnica Hungarica