Swin-PSO-SVM: A Novel Hybrid Model for Monkeypox Early Detection by Hager Saleh, Sherif Mostafa, Alshimaa H. Ismail, Sumit Srivastava, Saeed Hamood Alsamhi

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Visualization of large-scale user association feature data based on a nonlinear dimensionality reduction method by Nong Linlin

“…The results indicated that by combining principal component analysis with nonlinear dimensionality reduction algorithms (t-SNE and LargeVis) to provide interactive parameter adjustment and visualization in the front end, the selected dataset exhibited excellent analytical performance. Furthermore, the method could stably and accurately detect outliers within the dataset. …”
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A Process Monitoring Framework for Imbalanced Big Data: A Wastewater Treatment Plant Case Study by Morteza Zadkarami, Ali Akbar Safavi, Krist V. Gernaey, Pedram Ramin

“…In recent years, process monitoring structures utilize big data analytics to offer a more realistic interpretation of systems. …”
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Detection of Leaf Miner Infestation in Chickpea Plants Using Hyperspectral Imaging in Morocco by Mohamed Arame, Issam Meftah Kadmiri, Francois Bourzeix, Yahya Zennayi, Rachid Boulamtat, Abdelghani Chehbouni

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Predicting tennis match outcomes mid-game using machine learning on psychological and physical data by Boyuan Li, Zihui Deng, Gaurav Gupta, Jinger Li, Yixuan Miao

“…We first obtained weights through information entropy and defined psychological momentum, and then 3 best classifiers, random forest, CatBoost, and Logistic Regression, were detected to assess the features. Additionally, we implemented a soft voting ensemble method integrating the Random Forest and CatBoost classifiers. …”
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Efficient Hotspot Detection in Solar Panels via Computer Vision and Machine Learning by Nayomi Fernando, Lasantha Seneviratne, Nisal Weerasinghe, Namal Rathnayake, Yukinobu Hoshino

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A Novel Hybrid Model for Loan Default Prediction in Maritime Finance Based on Topological Data Analysis and Machine Learning by Mohammad Amin Kheneifar, Babak Amiri

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Credit card fraud detection in the era of disruptive technologies: A systematic review by Asma Cherif, Arwa Badhib, Heyfa Ammar, Suhair Alshehri, Manal Kalkatawi, Abdessamad Imine

“…Our study shows a limited investigation to date into deep learning, revealing that more research is required to address the challenges associated with detecting credit card fraud through the use of new technologies such as big data analytics, large-scale machine learning and cloud computing. …”
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Epidemiological features of infections/colonization, caused by vancomycin-resistant enterococci in Saint-Petersburg hospitals in 2017–2020 by M. A. Chervyakova, A. V. Lubimova, M. G. Daryina, J. S. Svetlichnaya, A. S. Zakhvatova

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Multimodal Detection of Agitation in People With Dementia in Clinical Settings: Observational Pilot Study by Abeer Badawi, Somayya Elmoghazy, Samira Choudhury, Sara Elgazzar, Khalid Elgazzar, Amer M Burhan

“…The system combines digital biomarkers collected from the EmbracePlus (Empatica Inc) wristband with video-based behavioral monitoring. Facial features in video frames were anonymized using a masking tool, and a deep learning model was used for AA detection. …”
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The Value of Clinical Decision Support in Healthcare: A Focus on Screening and Early Detection by Hendrik Schäfer, Nesrine Lajmi, Paolo Valente, Alessandro Pedrioli, Daniel Cigoianu, Bernhard Hoehne, Michaela Schenk, Chaohui Guo, Ruby Singhrao, Deniz Gmuer, Rezwan Ahmed, Maximilian Silchmüller, Okan Ekinci

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Applying a Convolutional Vision Transformer for Emotion Recognition in Children with Autism: Fusion of Facial Expressions and Speech Features by Yonggu Wang, Kailin Pan, Yifan Shao, Jiarong Ma, Xiaojuan Li

“…With advances in digital technology, including deep learning and big data analytics, new methods have been developed for autism diagnosis and intervention. …”
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Using multiple drug similarity networks to promote adverse drug event detection by Biswajit Padhi, Ruoqi Liu, Yuedi Yang, Xueqiao Peng, Lang Li, Pengyue Zhang, Ping Zhang

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Robustness and Efficiency Considerations When Testing Process Reliability with a Limit of Detection by Laura S. Bumbulis, Richard J. Cook

“…This can be challenging when measurement systems feature a lower limit of detection, rendering some observations left-censored. …”
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Connected Vehicles Security: A Lightweight Machine Learning Model to Detect VANET Attacks by Muawia A. Elsadig, Abdelrahman Altigani, Yasir Mohamed, Abdul Hakim Mohamed, Akbar Kannan, Mohamed Bashir, Mousab A. E. Adiel

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Sulfonate Thiacalixarene-Modified Polydiacetylene Vesicles as Colorimetric Sensors for Lead Ion Detection by Angelina A. Fedoseeva, Indira Yespanova, Elza D. Sultanova, Bulat Kh. Gafiatullin, Regina R. Ibragimova, Klara Kh. Darmagambet, Marina A. Il’ina, Egor O. Chibirev, Vladimir G. Evtugyn, Nurbol O. Appazov, Vladimir A. Burilov, Svetlana E. Solovieva, Igor S. Antipin

“…We report the first synthesis of zwitterionic thiacalixarenes featuring imidazolium and sulfonate groups on the upper rim and alkyl (butyl or octyl) fragments on the lower rim of the platform. …”
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Application of Modern Technical Means of Chemical Reconnaissance and Control for the Detection and Identification of Explosives by V. A. Inozemcev, I. N. Efimov, A. A. Pozvonkov, А. S. Samorodov, V. N. Ponomarev, S. S. Kolbinev

“…The purpose of this work is to analyze the possibilities of using modern technical means of chemical reconnaissance and control for the detection and identification of explosives. In order to achieve this goal, the authors assessed the analytical characteristics and features of the technical means of chemical reconnaissance and the indication methods implemented in them to determine the possibility of detecting and identifying the components of the EDs. …”
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Morphological features and molecular mechanisms in peritoneal adhesions from patients with chronic abdominal postoperative painResearch in context by Masja Karina Toneman, Priscilla Pauline Marianne Faas, Maurits Johan Christian Antoine Marie Gielen, Valentina Carotti, Anne Elisa Adriana van Oirschot, Judith Petronella Maria Mangnus, Anne Wintjens, Casper Mihl, Josephine Huige, Bianca Grosser, Marjolein Blussé van Oud-Alblas, Koen Willem van Dongen, Nicole Dorine Bouvy, Harry van Goor, Daniel Keszthelyi, Heike Irmgard Grabsch, Richard Peter Gerardus ten Broek

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A secure and efficient deep learning-based intrusion detection framework for the internet of vehicles by Hasim Khan, Ghanshyam G. Tejani, Rayed AlGhamdi, Sultan Alasmari, Naveen Kumar Sharma, Sunil Kumar Sharma

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Breast cancer detection based on histological images using fusion of diffusion model outputs by Younes Akbari, Faseela Abdullakutty, Somaya Al Maadeed, Ahmed Bouridane, Rifat Hamoudi

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