Prototyping Non-holonomic Hovercraft for Path Planning and Obstacle Avoidance by Ghulam -e-Mustafa Abro, Zain Anwar Ali, Bazgha Jabeen

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An Innovative Approach for Fake News Detection using Machine Learning by Maya Hisham, Raza Hasan, Saqib Hussain

“… This research aims to increase people's awareness of fake news on online social networks and help them determine the reliability of information they consume. …”
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Using the power of artificial intelligence to improve the diagnosis and management of nonmelanoma skin cancer by Fahimeh Abdollahimajd, Fatemeh Abbasi, Alireza Motamedi, Narges Koohi, Reza Mohamoud Robati, Mona Gorji

“…Continued research and development are essential to fully realize AI’s potential in improving NMSC diagnosis and management by overcoming the existing challenges and conducting comprehensive studies.…”
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VisME: Visual microsaccades explorer by Tanja Munz, Lewis L. Chuang, Sebastian Pannasch, Daniel Weiskopf

“…This work presents a visual analytics approach to explore microsaccade distributions in high-frequency eye tracking data. Research studies often apply filter algorithms and parameter values for microsaccade detection. …”
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Exploring the Applications of Explainability in Wearable Data Analytics: Systematic Literature Review by Yasmin Abdelaal, Michaël Aupetit, Abdelkader Baggag, Dena Al-Thani

“…However, intricate machine learning and deep learning algorithms often lead to the development of “black box” models, which lack transparency and comprehensibility for medical professionals and end users. …”
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Enhancing Pollen Prediction in Beijing, a Chinese Megacity: Leveraging Ensemble Learning Models for Greater Accuracy by Wenxi Ruan, Ziming Li, Zhaobin Sun, Xingqin An, Yuxin Zhao, Shuwen Zhang, Yinglin Liang, Yaqin Bu, Jingyi Xin, Xiaoyi Hang

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Quality assessment of chicken using machine learning and electronic nose by Hassan Anwar, Talha Anwar

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USP21 is involved in the development of chronic hepatitis B by modulating the immune microenvironment by Pengyu Luo, Yuna Tang, Nan Chen, Pei Liu, Jing Wang, Yuchen Fan, Huihui Liu, Kai Wang

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Comparing the Performance of Machine Learning Models and Conventional Risk Scores for Predicting Major Adverse Cardiovascular Cerebrovascular Events After Percutaneous Coronary Int... by Min-Young Yu, Hae Young Yoo, Ga In Han, Eun-Jung Kim, Youn-Jung Son

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Improved Key Microbial Biomarker Discovery Using Ensemble Statistical Methods by Walter Pirovano, Yashjit Gangopadhyay, Mirna Lilian Baak, Christiaan Arie de Leeuw, Radhika Bongoni, Eline Suzanne Klaassens

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Machine learning framework to estimate ridership loss in public transport during external crises: case study of bus network in Stockholm by Mahsa Movaghar, Erik Jenelius, David Hunter

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Energy-Efficient model for integrated berth allocation and quay crane management by Saeedeh Khalilpoor, Mehdi A. Kamran, Reza Babazadeh, Reza Kia

“…Several numerical experiments in different dimensions are defined and implemented with both algorithms. The results analysis gives an overall perspective, while both algorithms show their value and strong points and weaknesses in meeting demanding requirements of modern container terminal logistics. …”
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A Comparative Study in Fuzzy Control Systems for Cruise Control Vehicles by Adnan Shaout, Malek I El Amr

“…The challenging problem of comparing different algorithms for fuzzy cruise control has been considered, studied, and ana-lyzed. …”
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Development and validation of an explainable machine learning model for predicting prognosis in sepsis patients with a history of cancer who were admitted to the intensive care uni... by Xiang Luo, Xiuji Kan, Dongliang Wang, Yu Shi, Siqi Zhu, Zhenyu Chen, Congcong Wang, Wenqi Zhu, Xiangtong Wang, Wenwen Sun

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Book Review: Urban Planning in the Digital Age by Nicolas Douay by PĂCEȘILĂ Mihaela

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Advancements in Herpes Zoster Diagnosis, Treatment, and Management: Systematic Review of Artificial Intelligence Applications by Dasheng Wu, Na Liu, Rui Ma, Peilong Wu

“…ConclusionsOverall, this study provides a comprehensive overview of AI applications in herpes zoster from clinical, data, and algorithmic perspectives, offering valuable insights for future research in this rapidly evolving field. …”
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Mapping of the susceptibility of China‒Russia crude oil pipelines to water damage in permafrost regions in Northeast China by Wen-Hui Wang, Hui-Jun Jin, Xiao-Ying Jin, Zi-Kang Ming, Xin-Yu Li, Yan Li, Xiao-Ying Li, Tao Zhan, Guang-Yin Xue, Fu-Qiang Che, Gang-Yi Zhou, Wei Wang, Valetin V. Spektor, Nikita Tananaev, Moisei Zakharov, David-R. Şerban, Hong-Wei Wang, Ze Zhang, Leonid Gagarin, Guo-Yu Li

“…However, the susceptibility to water damage in these areas has received limited attention and research. Aiming to evaluate the susceptibility to water damage (STWD) of the China‒Russia Crude Oil Pipelines (CRCOPs) I and II, random forest (RF) algorithms, correlation analysis of influencing factors and on-site surveys were employed. …”
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DISCUSSION OF “CLUSTERING ON DISSIMILARITY REPRESENTATIONS FOR DETECTING MISLABELLED SEISMIC SIGNALS AT NEVADO DEL RUIZ VOLCANO” BY MAURICIO OROZCO-ALZATE, AND CÉSAR GERMÁN CASTELL... by Rivera Diego, Kahya Ercan, Demirel Mehmet C.

“…The authors are to be congratulated for a systematic investigationof the accurate and non subjective classifying approach in seismic research. The authors have conducted several clustering algorithms to the seismic event records from Volcanological and SeismologicalObservatory at Manizales. …”
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Utilizing artificial intelligence for the detection of hemarthrosis in hemophilia using point-of-care ultrasonography by Pascal N. Tyrrell, María Teresa Alvarez-Román, Nihal Bakeer, Brigitte Brand-Staufer, Victor Jiménez-Yuste, Susan Kras, Carlo Martinoli, Mauro Mendez, Azusa Nagao, Margareth Ozelo, Janaina B.S. Ricciardi, Marek Zak, Johannes Roth

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Prediction of recurrence-free survival and risk factors of sinonasal inverted papilloma after surgery by machine learning models by Siyu Miao, Yang Cheng, Yaqi Li, Xiaodong Chen, Fuquan Chen, Dingjun Zha, Tao Xue

“…Abstract Objectives Our research aims to construct machine learning prediction models to identify patients proned to recurrence after inverted papilloma (IP) surgery and guide their follow-up treatment. …”
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