Music Generation Using Deep Learning and Generative AI: A Systematic Review by Rohan Mitra, Imran Zualkernan

“…The study examines common data representations in music generation, including raw waveforms, spectrograms, and MIDI, alongside the most prominent deep learning architectures like Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Variational Autoencoders (VAEs), and Transformer-based models. …”
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Vision Transformers for Image Classification: A Comparative Survey by Yaoli Wang, Yaojun Deng, Yuanjin Zheng, Pratik Chattopadhyay, Lipo Wang

“…We then compare the strengths and limitations of these transformer-based models against classic convolutional neural networks (CNNs) through experiments. Finally, we explore key challenges and potential future directions for image classification transformers.…”
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Systematic review of machine learning applications using nonoptical motion tracking in surgery by Teona Z. Carciumaru, Cadey M. Tang, Mohsen Farsi, Wichor M. Bramer, Jenny Dankelman, Chirag Raman, Clemens M. F. Dirven, Maryam Gholinejad, Dalibor Vasilic

“…From 3632 records, 84 studies were included, with Artificial Neural Networks (38%) and Support Vector Machines (11%) being the most common ML models. …”
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Vortex generators in heat sinks: Design, optimisation, applications and future trends by Mohammad Ismail, Abdullah Masoud Ali, Sol-Carolina Costa Pereira

“…Strategies such as nanofluids, dimples, Response Surface Methodology analysis and Artificial Neural Networks are crucial to improve VG designs to maximise thermal efficiency and minimise pressure loss. …”
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A Deep-Learning Method for Remaining Useful Life Prediction of Power Machinery via Dual-Attention Mechanism by Fan Wang, Aihua Liu, Chunyang Qu, Ruolan Xiong, Lu Chen

“…Initially, convolutional neural networks (CNNs) and channel attention mechanisms are employed to preliminarily extract spatial features. …”
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Pile-Raft Settlements Prediction under Coupled Static-Dynamic Loads Using Four Heuristic Regression Approaches by Mosbeh R. Kaloop, Jong Wan Hu, Emad Elbeltagi

“…Four advanced heuristic regression methods are developed and applied in this study to estimate raft foundations’ settlement, namely, multivariate adaptive regression splines (MARS), M5 model tree (M5Tree), generalized regression neural networks (GRNN), and support vector regression (SVR) techniques. …”
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An Optimization Method of Multiclass Price Railway Passenger Transport Ticket Allocation under High Passenger Demand by Bin Wang, Shaoquan Ni, Fucai Jin, Zixu Huang

“…Then, on this basis, we use gray neural networks (GNNs) to predict the passenger demand of different origins and destinations (ODs), and according to the prediction results, we propose two ticket allocation methods based on operation and capacity control: accurate predivided model and fuzzy predivided model. …”
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Machine learning for medical image classification by Gazi Husain, Jonathan Mayer, Molly Bekbolatova, Prince Vathappallil, Mihir Matalia, Milan Toma

“…It navigates through various ML methods utilized in healthcare, including Supervised Learning, Unsupervised Learning, Self-Supervised Learning, Deep Neural Networks, Reinforcement Learning, and Ensemble Methods. …”
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Latent Graph Induction Networks and Dependency Graph Networks for Events Detection by Jing Yang, Hu Gao, Depeng Dang

“…In real-world scenarios, multiple events often coexist within the same sentence, making the extraction of these events more challenging than extracting a single event. While graph neural networks operating over dependency parsing trees have shown some capability in handling multi-event scenarios and improving event detection effectiveness, their improvement is limited. …”
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Multiple Adversarial Domains Adaptation Approach for Mitigating Adversarial Attacks Effects by Bader Rasheed, Adil Khan, Muhammad Ahmad, Manuel Mazzara, S. M. Ahsan Kazmi

“…Although neural networks are near achieving performance similar to humans in many tasks, they are susceptible to adversarial attacks in the form of a small, intentionally designed perturbation, which could lead to misclassifications. …”
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Design and application of system with dual-control of water and electricity based on wireless sensor network and video recognition technology by Hejie Chen, Chunxue Wu, Wending Huang, Yan Wu, Naixue Xiong

“…Therefore, a design and application of system with dual-control of water and electricity is proposed and convolutional neural networks–based video recognition technology is used to identify the security issues that occur in the field. …”
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Identifying and Evaluating Chaotic Behavior in Hydro-Meteorological Processes by Soojun Kim, Yonsoo Kim, Jongso Lee, Hung Soo Kim

“…The generated time series from summation of sine functions were fitted to each series and used for investigating the hypotheses. Then artificial neural networks had been built for modeling the reservoir system and the correlation dimension was analyzed for the evaluation of chaotic behavior between inputs and outputs. …”
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Analysis of Concrete Dam Deformation Prediction Based on the ResNet-GRU-SGWO Model by Ning Ma, Xiubo Niu, Xunhui Chen, Wenxiu Wei, Ye Zhang, Xinyu Kang, Wen Zhong, Jing Wu

“…Machine learning, especially recurrent neural networks, plays an important role in this, yet its predictive accuracy is not high. …”
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Integrating molecular photoswitch memory with nanoscale optoelectronics for neuromorphic computing by David Alcer, Nelia Zaiats, Thomas K. Jensen, Abbey M. Philip, Evripidis Gkanias, Nils Ceberg, Abhijit Das, Vidar Flodgren, Stanley Heinze, Magnus T. Borgström, Barbara Webb, Bo W. Laursen, Anders Mikkelsen

“…Here, we show that donor-acceptor Stenhouse adduct dyes integrated with III-V semiconductor nano-optoelectronics have combined excellent functionality for bio-inspired neural networks. The dye acts as synaptic weights in the optical interconnects, while the nano-optoelectronics provide neuron reception, interpretation and emission of light signals. …”
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Formation and creative manifestation of functional ensembles of intellectual agents based on live information in various spheres of life activity by Evgeny Bryndin

“…Neural networks with deep learning and reinforcement are able to compose poetry and music, draw paintings, and write short stories, as well as come up with scripts for films. …”
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An exploratory study of interpretability for face presentation attack detection by Ana F. Sequeira, Tiago Gonçalves, Wilson Silva, João Ribeiro Pinto, Jaime S. Cardoso

“…Building upon previous work, a face PAD model based on convolutional neural networks was implemented and evaluated both through traditional PAD metrics and with interpretability tools. …”
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Multimodal Deep Feature Fusion (MMDFF) for RGB-D Tracking by Ming-xin Jiang, Chao Deng, Ming-min Zhang, Jing-song Shan, Haiyan Zhang

“…MMDFF model consists of four deep Convolutional Neural Networks (CNNs): Motion-specific CNN, RGB- specific CNN, Depth-specific CNN, and RGB-Depth correlated CNN. …”
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Binary Classification of Customer’s Online Purchasing Behavior Using Machine Learning by Ahmad Aldelemy, Raed A. Abd-Alhameed

“…Our methodology includes data analysis, transformation, training, and testing machine learning classifiers such as Naïve Bayes, Decision Trees, Random Forests, Support Vector Machines, Logistic Regression, Artificial Neural Networks, AdaBoost, and Gradient Descent. We use stratified k-folding (k=5) cross-validation and assemble the top-performing classifiers into a decision-making committee, resulting in over 92% accuracy with two-thirds voting confidence. …”
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Gradient method for designing cascaded DOEs and its application in the problem of classifying handwritten digits by D.V. Soshnikov, L.L. Doskolovich, E.V. Byzov

“…The obtained results may find application in the development of diffractive neural networks and optical systems for laser beam focusing.…”
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Rough Sets Data Analysis in Knowledge Discovery: A Case of Kuwaiti Diabetic Children Patients by Aboul ella Hassanien, Mohamed E. Abdelhafez, Hala S. Own

“…A comparison between the obtained results using rough sets with decision tree, neural networks, and statistical discriminate analysis classifier algorithms has been made. …”
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