Constrained adversarial learning for automated software testing: a literature review by João Vitorino, Tiago Dias, Tiago Fonseca, Eva Maia, Isabel Praça

“…Automated software testing can be a promising solution to quickly analyze many lines of code and detect vulnerabilities and possible attack vectors by generating function-specific testing data. …”
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Information Retrieval Method for the Qur’an based on FastText and Latent Semantic Indexing by aziz ramadhan, Fandy Setyo Utomo

“…The proposed method involves several steps: text preprocessing (lowercasing, punctuation removal, stopword elimination, and stemming), tokenization and vocabulary creation, Bag-of-Words (BoW) representation, creation of LSI models, conversion of FastText vectors, and combining LSI and FastText vectors. A similarity index is then created from the combined vectors to process user queries and rank documents based on cosine similarity. …”
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Adjudicating between face-coding models with individual-face fMRI responses. by Johan D Carlin, Nikolaus Kriegeskorte

“…In such spaces, individuals are encoded as vectors where identity is primarily conveyed by direction and distinctiveness by eccentricity. …”
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On the Ethics of Mediating Embodied Vulnerability to Violence by Meenakshi Gigi Durham

“…As a starting point, I argue for the politics of embodiment as a generative process that constitutes differential vulnerabilities. …”
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Selection and study of methods for implementing a diagnostic model for compressor stations of the rocket and space complex by A. V. Burakov, R. R. Khotsky, L. G. Kuznetsov

“…It is proposed to use wavelet analysis to process the diagnostic parameters obtained by analyzing the indicator diagrams of the stages of a reciprocating compressor.…”
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Identification of hateful amharic language memes on facebook using deep learning algorithms by Mequanent Degu Belete, Girma Kassa Alitasb

“…We suggested a deep learning approach to identify offensive memes posted on Facebook in case of Amharic language'. The research process commenced by manually gathering memes posted by Facebook users. …”
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Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model by Qingqing Lin, Qingqing Lin, Wenxiang Zhao, Wenxiang Zhao, Hailin Zhang, Hailin Zhang, Wenhao Chen, Sheng Lian, Qinyun Ruan, Qinyun Ruan, Zhaoyang Qu, Zhaoyang Qu, Yimin Lin, Yimin Lin, Dajun Chai, Dajun Chai, Dajun Chai, Dajun Chai, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin

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Correlation study on the risk of cardiovascular adverse events in diabetic foot patients based on machine learning - a retrospective cohort study by Liran Zheng, Jiageng Chen, Wenyan Xu, Min Ding, Juan Li, Fenghua Tian, Lei Zhang, Qianqian Li, Shuai Wang, Zeyu Wang, Hairong Ma, Xuecan Cui, Bai Chang, Meijun Wang

“…Logistic regression, random forest (RF) and support vector machine (SVM) were used respectively to analyze influencing factors. …”
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The functions of DNA methyltransferases during the feeding and development of Haemaphysalis longicornis are potentially associated with lysosome pathways by Zhijun Yu, Tingwei Pei, Xinyue Shi, Chuks F. Nwanade, Ziyan Bing, Ziwen Gao, Jianglei Meng, Lu Li, Jingze Liu

“…RNA-seq revealed that the differentially expressed genes were mainly enriched in the biological processes of peptide biosynthesis and the cell components of ribosomes. …”
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Similarity analysis of dam behavior characterized by multi-monitoring points based on Cloud model by Hanman Li, Ziyang Li, Fuheng Ma, Chengdong Liu

“…The monitoring points are then treated as vectors, and the cloud similarity is calculated using the cosine value of the angle between them. …”
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LIO-SAM++: A Lidar-Inertial Semantic SLAM with Association Optimization and Keyframe Selection by Bingke Shen, Wenming Xie, Xiaodong Peng, Xiaoning Qiao, Zhiyuan Guo

“…The issue of incorrect feature association arises because the matching process is susceptible to influences such as dynamic objects, occlusion, and environmental changes. …”
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Identification and validation of TUBB, CLTA, and FBXL5 as potential diagnostic markers of postmenopausal osteoporosis by Yue Tan, Yujing Wang, Qin Zhu, Yan Xue, Xuhao Ji, Zhenkun Li, Jiawen Shen, Chengming Sun, Shiqi Ren, Chenlin Zhang, Jianfeng Chen

“…Additionally, we intersected the clusters to identify differentially expressed genes (DEGs) and analyzed potential diagnostic markers for PMOP using support vector machine recursive feature elimination (SVM-RFE), LASSO, and random forest (RF) algorithms, which were subsequently validated in the GSE56116 dataset. …”
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PLASMOpred: A Machine Learning-Based Web Application for Predicting Antimalarial Small Molecules Targeting the Apical Membrane Antigen 1–Rhoptry Neck Protein 2 Invasion Complex by Eugene Lamptey, Jessica Oparebea, Gabriel Anyaele, Belinda Ofosu, George Hanson, Patrick O. Sakyi, Odame Agyapong, Dominic S. Y. Amuzu, Whelton A. Miller, Samuel K. Kwofie, Henrietta Esi Mensah-Brown

“…Five ML models developed comprised Random Forest (RF), Gradient Boost Machines (GBMs), CatBoost (CB), AdaBoost (AB) and Support Vector Machine (SVM). The performances of the models were evaluated using accuracy, F1 score, and receiver operating characteristic—area under the curve (ROC-AUC) and validated using held-out data and a y-randomization test. …”
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Feature Representation Using Deep Autoencoder for Lung Nodule Image Classification by Keming Mao, Renjie Tang, Xinqi Wang, Weiyi Zhang, Haoxiang Wu

“…Then these patches are transformed into fixed-length local feature vectors using unsupervised deep autoencoder (DAE). …”
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Investigating the Relationship between Air Pollutants and Meteorological Parameters in the Agricultural Sector of Mazandaran Province Using Logistic Regression by Majid Ghorbani, Abolfazl Mahmoodi, Mohammad Khaledi

“…Therefore, the results clearly indicate that temperature is the most effective factor in the process of creating pollutants in Mazandaran province. …”
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Exhaled volatile organic compounds as novel biomarkers for early detection of COPD, asthma, and PRISm: a cross-sectional study by Jiaxin Tian, Qiurui Zhang, Minhua Peng, Leixin Guo, Qianqian Zhao, Wei Lin, Sitong Chen, Xuefei Liu, Simin Xie, Wenxin Wu, Yijie Li, Junqi Wang, Jin Cao, Ping Wang, Min Zhou

“…Volatile organic compounds (VOCs) in breath can reflect the pathophysiological processes of disease, thereby having the potential to serve as a promising approach for diagnosing respiratory diseases. …”
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Analysis of a case of imported tsutsugamushi disease in Shanghai by ZHU Lin, HE Xiaoding

“…ObjectiveTo investigate the clinical characteristics and epidemiological history of an imported case of tsutsugamushi disease, and to identify the diagnosis and key points of prevention and control.MethodsThe clinical symptoms, diagnosis and treatment process, and epidemiological data were retrospectively analyzed for a case of tsutsugamushi disease in Changning District. …”
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Optical audio cryptosystem using hyperchaotic implementation in Gyrator domain by Miao Tian, Yuanyue Cui, Zhengjun Liu, Hang Chen

“…To enhance security, the hyperchaotic system generates various hyperchaotic states involved in the disruption process. Subsequently, Random Mode Decomposition (RMD) is employed to generate two asymmetric independent vectors, leading to the acquisition of the ciphertext and private key. …”
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From Barthel–Randers–Kropina Geometries to the Accelerating Universe: A Brief Review of Recent Advances in Finslerian Cosmology by Amine Bouali, Himanshu Chaudhary, Lehel Csillag, Rattanasak Hama, Tiberiu Harko, Sorin V. Sabau, Shahab Shahidi

“…Finsler geometry generalizes Riemannian geometry by allowing the metric tensor to depend not only on position but also on an additional internal degree of freedom, typically represented by a vector field at each point of the spacetime manifold. …”
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Non-Redundant Feature Extraction in Mobile Edge Computing by Xiaojun Chen, Qi Wang, Chuntao Ding

“…The goal of this paper is to reduce the amount of data uploaded by IoT devices to the cloud/edge server by removing redundant vectors of the feature extractor, thereby reducing the data transmission time and the time it takes for the cloud/edge server to process features, and improving image recognition accuracy. …”
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