Investigating the Effect of Prompt Treatment on Malaria Prevalence in Children Aged below Five Years in Zambia: A Nested Case-Control Study in a Cross-Sectional Survey by Mukumbuta Nawa

“…A nested case-control design was employed using datasets from a large countrywide national Malaria Indicator Survey of 2015. …”
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Morphology controlled fabrication of zinc phosphate hierarchical microspheres for room temperature ammonia gas sensor by Khalida Akhtar, Naila Zubair, Neelam Zeb, Syed Sajjad Ali Shah, Zia Ullah Khan, Hina Khalid

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Predicting construction waste in Egyptian residential projects: a robust multiple regression model approach by Mohamed KhairEldin, Ahmed Osama Daoud, Ahmed Hussein Ibrahim, Hossam M. Toma

“…Although the models show acceptable performance, future research should aim to expand the dataset, incorporate additional variables, and test the models across different types of construction projects to validate further and refine these predictive tools. …”
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Assessment of Hair Aluminum, Lead, and Mercury in a Sample of Autistic Egyptian Children: Environmental Risk Factors of Heavy Metals in Autism by Farida El Baz Mohamed, Eman Ahmed Zaky, Adel Bassuoni El-Sayed, Reham Mohammed Elhossieny, Sally Soliman Zahra, Waleed Salah Eldin, Walaa Yousef Youssef, Rania Abdelmgeed Khaled, Azza Mohamed Youssef

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Estimation of the Visibility in Seoul, South Korea, Based on Particulate Matter and Weather Data, Using Machine-learning Algorithm by Bu-Yo Kim, Joo Wan Cha, Ki-Ho Chang, Chulkyu Lee

“…The estimation accuracy for the test dataset was good (bias = −0.11 km, RMSE = 2.08 km, and r = 0.94); the estimation accuracy was higher in the dry season (bias = −0.06 km, RMSE = 1.79 km, and r = 0.96) than in the rainy season (bias = −0.17 km, RMSE = 2.34 km, and r = 0.91). …”
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NeuralACT: Accounting Analytics Using Neural Network for Real-Time Decision Making From Big Data by Leonidas Theodorakopoulos, Alexandra Theodoropoulou, Georgios Kampiotis, Ioanna Kalliampakou

“…It uses a Bidirectional Long Short-Term Memory (BiLSTM) network trained with Visegrad Group Companies (VGC) dataset customized and improved for accounting features prediction. …”
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Camptocormia in Parkinson's Disease by Kazuo Abe, Yutaka Uchida, Masaru Notani

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Unveiling the nexus between minimum dietary diversity and anemia among children aged 6–23 months in India: evidence from NFHS-5 (2019–2021) by Koyel Majumder, Mithun Sarkar, Rahul Mallick, Bikash Barman, Pradip Chouhan

“…As minimum dietary diversity (MDD) is significantly associated with hemoglobin status in children, the current study seeks to identify the association between MDD and anemia among children aged 6–23 months in India based on the latest dataset of the National Family Health Survey (NFHS-5) conducted during 2019–2021. …”
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Predicting the correlation between neurological abnormalities and thyroid dysfunction using artificial neural networks by Dina Falah Noori Al-Sabak, Leila Sadeghi, Gholamreza Dehghan

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Multifeature extraction based MobileViTv3 model for fish feeding behavior recognition from video streaming by Zheng Zhang, Menglu Chen, Qingsong Hu, Yanbing Shen

“…The experiments were carried out on an industrial aquaculture farm. We built a dataset of Micropterus salmoides, and then conducted the compare experiments. …”
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Urban Vegetation Mapping from Aerial Imagery Using Explainable AI (XAI) by Arnick Abdollahi, Biswajeet Pradhan

“…Explainable AI (XAI) can help us gain insight into these limits and, as a result, adjust the training dataset and model as needed. Thus, in this work, we explain how an explanation model called Shapley additive explanations (SHAP) can be utilized for interpreting the output of the DNN model that is designed for classifying vegetation covers. …”
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Influence of contextual factors on most demanding scenarios in under-19 professional soccer players by Rubén-Cipriano Romero-Rodríguez, Enrique Alonso-Pérez-Chao, Carlos Ribas, Daniel Memmert, Miguel-Ángel Gómez-Ruano

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Credit card default prediction using ML and DL techniques by Fazal Wahab, Imran Khan, Sneha Sabada

“…This research makes use of the UCI ML repository to access the credit card defaulted customer dataset. Subsequently, various techniques are employed to preprocess the unprocessed data and visually present the outcomes through the use of exploratory data analysis (EDA). …”
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Serum Vitamin D Level and Risk of Community-Acquired Pneumonia: A Case-Control Study by Guwani Liyanage, Anusha Kaneshapillai, Suthesan Kanthasamy

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Introducing an ensemble method for the early detection of Alzheimer's disease through the analysis of PET scan images by Arezoo Borji, Taha-Hossein Hejazi, Abbas Seifi

“…This classification is based on a thorough examination of Positron Emission Tomography (PET) scan images obtained from the ADNI dataset, which provides a comprehensive understanding of the disease's progression. …”
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Light-YOLO: a lightweight detection algorithm based on multi-scale feature enhancement for infrared small ship target by Ji Tang, Xiao-Min Hu, Sang-Woon Jeon, Wei-Neng Chen

“…Experimental results demonstrate that Light-YOLO outperforms YOLOv8n, achieving optimal performance on an infrared ship small target detection dataset with 9.2G FLOPs. It notably enhances accuracy, recall rate, and average precision by 1.76%, 0.83%, and 2.27%, respectively.…”
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Approximate CNN Hardware Accelerators for Resource Constrained Devices by P Thejaswini, Gautham Suresh, V. Chiraag, Sukumar Nandi

“…Our proposed architectures are validated for functionality through an image classification application, utilising the popular MNIST dataset for 8-bit, 16-bit and 32-bit operational word size. …”
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Underwater DVL Optimization Network (UDON): A Learning-Based DVL Velocity Optimizing Method for Underwater Navigation by Feihu Zhang, Shaoping Zhao, Lu Li, Chun Cao

“…To evaluate the proposed method, we conducted lake experiments using SINS and DVL equipment, from which the collected data were organized into a dataset for training and assessing the model. The research results show that the DVL vector predicted by our model can achieve a maximum improvement of 69.26% in terms of root mean square error and a maximum improvement of 78.62% in terms of relative trajectory error.…”
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Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases by Arun Sharma, Sheeba Rani, Dinesh Gupta

“…We used publicly available PA chest X-ray images of adult COVID-19 patients for the development of Artificial Intelligence (AI)-based classification models for COVID-19 and other major infectious diseases. To increase the dataset size and develop generalized models, we performed 25 different types of augmentations on the original images. …”
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Fast Image Registration for Spacecraft Autonomous Navigation Using Natural Landmarks by Yun-Hua Wu, Lin-Lin Ge, Feng Wang, Bing Hua, Zhi-Ming Chen, Feng Yu

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