Crowd-based people detection using deep learning by Chen, Lei

“…This project first reviewed an extensive list of literature related to object detection based on handcraft and deep learning methods. Then, two state of art neural networks were introduced (EfficientDet and YOLOv5), and through further analysis, I analyzed the components and the thesis and the subsequent source codes, deduced the complete network structure, and explained the specific implementation process of the critical parts. …”
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Deep learning for communication signal classification – part A by Wang, Chien Wei

“…Deep Learning methods have seen significant success in a variety of applications in recent years. …”
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Threat intelligence using machine learning packet dissection by Sowinski-Mydlarz, Viktor, Li, Jun, Ouazzane, Karim, Vassilev, Vassil

“…In this research we compare different methods to examine network packets using supervised learning to predict possible intrusions. …”
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Identifying software vulnerabilities via code representation learning by Wu, Bozhi

“…With the advancements in machine learning, learning-based approaches have emerged, leveraging automated code representation learning to identify vulnerabilities by learning from datasets. …”
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Prediction analysis of COVID-19 in Selangor by using backpropagation algorithm with conjugate gradient method by Ajmal Khan, Noor Amirah, Marjugi, Siti Mahani

“…The Fletcher-Reeves approach can improve the efficiency of the backpropagation algorithm by having a faster convergence rate than other methods such as the scaled conjugate gradient method. …”
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Robust Markov decision processes: a place where AI and formal methods meet by Suilen, M, Badings, T, Bovy, EM, Parker, D, Jansen, N

“…In particular, we discuss RMDP semantics and how to solve them by extending standard MDP methods such as value iteration and policy iteration. …”

Quantum computing and quantum neural networks: their foundation, optimisation, and application by Pointing, J

“…Our results suggest a bias-expressivity tradeoff, highlighting the need for alternative frameworks to make QNNs effective general-purpose learning tools for classical data. We explore the optimisation of quantum circuits by creating a new quantum compiler with a novel technique: we automatically generate quantum circuits that are equivalent and design a tiling method to optimise larger circuits according to a customisable cost function. …”

A word-embedding-based steganalysis method for linguistic steganography via synonym substitution by Xiang, Lingyun, Yu, Jingmin, Yang, Chunfang, Zeng, Daojian, Shen, Xiaobo

“…To prevent privacy disclosure, a linguistic steganalysis method based on word embedding is proposed to detect the privacy information hidden in synonyms in the texts. …”
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A data-driven method for automated data superposition with applications in soft matter science by Lennon, Kyle R., McKinley, Gareth H., Swan, James W.

“…In this work, we develop a data-driven, nonparametric method for superposing experimental data with arbitrary coordinate transformations, which employs Gaussian process regression to learn statistical models that describe the data, and then uses maximum a posteriori estimation to optimally superpose the data sets. …”
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Comprehensive analysis of feature extraction methods for emotion recognition from multichannel EEG recordings by Yuvaraj, Rajamanickam, Thagavel, Prasanth, Thomas, John, Fogarty, Jack, Ali, Farhan

“…The FD-CART feature-classification method attained the best mean classification accuracy for valence (85.06%) and arousal (84.55%) across the five datasets. …”
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Chemical methods in dewatering clayey slurry for land reclamation (GE27AB/ISP) by Andi

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Additive quantization for truly tiny compressed diffusion models by Hasan, Adil

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Chemical analysis of silica doped hydroxyapatite biomaterials consolidated by a spark plasma sintering method by Xu, Jinling, Khor, Khiam Aik

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Effectiveness of clinical virtual simulation on knowledge retention, self-directed learning ability and learning effect among nursing students in Xi’an Fanyi university, China by Nan, Han

“…With the rapid development of information teaching, clinical virtual simulation has been widely used as a new teaching method in nursing teaching. However, in-depth longitudinal research on self-directed learning ability and knowledge retention is lacking. …”
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Visual place recognition for autonomous robots using deep learning by Huang, Yifeng

“…This distillation method of global feature matching can reduce the difference between the results of the learning model and the teaching model, and can also be used to enhance the generalization ability.…”
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Gaussian Process Learning-based Probabilistic Optimal Power Flow by Pareek, Parikshit, Nguyen, Hung D.

“…The proposed method requires a lesser number of samples and elapsed time. …”
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Deep learning-based concrete image analysis and generalization capability by Qian, Hanjie

“…To achieve this, we propose analysis algorithms based on deep learning and design methods to enhance generalization capability and alleviate the reliance on labels. …”
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Humanising GrabCut: learning to segment humans using the Kinect by Gulshan, V, Lempitsky, V, Zisserman, A

“…The Kinect provides an opportunity to collect large quantities of training data for visual learning algorithms relatively effortlessly. To this end we investigate learning to automatically segment humans from cluttered images (without depth information) given a bounding box. …”

Learning to detect cells using non-overlapping extremal regions by Arteta, C, Lempitsky, V, Noble, JA, Zisserman, A

“…We propose a machine learning-based cell detection method applicable to different modalities. …”

“Who are you?” - Learning person specific classifiers from video by Sivic, J, Everingham, M, Zisserman, A

“…In this paper we build on that method, extending the coverage greatly by the detection and recognition of characters in profile views. …”