Advanced intrusion detection technique (AIDT) for secure communication among devices in internet of medical things (IoMT) by M. Ramya, Pradeep Sudhakaran, Yuvaraj Sivagnanam, C. Santhana Krishnan

“…By employing the integrated patient sensing and network traffic datasets, our research achieves a superior accuracy rate of 96.4% in network intrusion detection compared to the competing algorithms. Furthermore, we incorporated a comprehensive analysis of the implementation of different classification algorithms in IoMT network intrusion detection, further supporting the claim that the proposed framework performs marginally better than alternative models.…”
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Tree-Related High-Impedance Fault in Distribution Systems: Modeling, Detection, and Ignition Risk Assessment (Review) by Chunlan Yang, Wenhai Zhang, Rui Tang, Xianyong Xiao

“…In modeling, there is a lack of frameworks that simultaneously elucidate underlying mechanisms and support detection algorithms. In detection algorithms, the existing methods have not been adequately validated under complex environmental conditions. …”
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RQPool: A Novel Multi-Branch Graph-Level Anomaly Detection by Aaron Alex Philip, Ziad Kobti

“…Moreover, existing Graph Neural Network (GNN) algorithms focus primarily on spatial domain features while neglecting spectral properties. …”
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Real-Time Waste Detection and Classification Using YOLOv12-Based Deep Learning Model by Mosharof Hossain Dipo, Fahmid Al Farid, Md. Sifti Al Mahmud, Muntasir Momtaz, Shakila Rahman, Jia Uddin, Hezerul Abdul Karim

“…Images of waste were captured in many different settings and analyzed with a YOLOv12-based model. …”
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A Survey on Computing-in-Memory (CiM) and Emerging Nonvolatile Memory (NVM) Simulators by John Taylor Maurer, Ahmed Mamdouh Mohamed Ahmed, Parsa Khorrami, Sabrina Hassan Moon, Dayane Alfenas Reis

“…We organize the simulation tools by design-level scopes with respect to their focus on the devices, circuits, architectures, systems/algorithms, and applications they support. We conclude this work by identifying the gaps within the simulation space.…”
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A framework based on mechanistic modelling and machine learning for soil moisture estimation by Sabri Kanzari, Sana Ben Mariem, Samir Ghannem, Safouane Mouelhi, Hiba Ghazouani, Bechir Ben Nouna

“…Abstract Soil moisture has many important applications in subsurface water movement. …”
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A Systematic Literature Review: Fourier Analysis as a Mathematical Tool for Robot Navigation by Prithvi Narayan, Sandeep Ameet Kumar, Avinesh Prasad, Bibhya Nand Sharma

“…The introduction of Fourier analysis or series in robot navigation algorithms greatly improves the capability to find solutions to many inherent applications and tasks of robotic systems. …”
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Location Prediction on Trajectory Data: A Review by Ruizhi Wu, Guangchun Luo, Junming Shao, Ling Tian, Chengzong Peng

“…Location prediction is the key technique in many location based services including route navigation, dining location recommendations, and traffic planning and control, to mention a few. …”
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Trends in indirect liver function marker testing in Wales from 2000 to 2017 and their association with age and sex: an observational study by Joe West, Joanne R Morling, Trevor Alexander Hill, Colin John Crooks

“…AST and ALT values varied by age and sex, particularly in males with the upper normal range of ALT values decreasing rapidly from 90 U/L at age 30 to 45 U/L by age 80.Conclusion The reduction in AST testing to only 1% of the adult population limits the use of many non-invasive liver marker algorithms. To enable widespread screening, alternative algorithms for liver fibrosis that do not depend on AST should be developed. …”
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Domain Adversarial Convolutional Neural Network Improves the Accuracy and Generalizability of Wearable Sleep Assessment Technology by Adonay S. Nunes, Matthew R. Patterson, Dawid Gerstel, Sheraz Khan, Christine C. Guo, Ali Neishabouri

“…Improving the accuracy and generalizability of sleep algorithms for accelerometer wrist devices is of utmost importance. …”
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Discovering and modeling hidden periodicities in science data by Antonio Napolitano, William A. Gardner

“…Since the birth of this topic, both authors have continued to advance these paradigm shifts, including further development of theory, associated methodology, and computational algorithms. The most advanced of the concepts described (viz., irregular poly-cyclostationarity) is illustrated with an application of the associated algorithms to science data consisting of time series of Sunspot numbers containing approximately 75,000 daily measurements representing a period of about 200 years. …”
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Ground state energy and magnetization curve of a frustrated magnetic system from real-time evolution on a digital quantum processor by Aaron Szasz, Ed Younis, Wibe Albert de Jong

“…Models of interacting many-body quantum systems that may realize new exotic phases of matter, notably quantum spin liquids, are challenging to study using even state-of-the-art classical methods such as tensor network simulations. …”
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Improving The Performance of Big Data Databases by Nzar Abdulqadir Ali, Dashne Raouf Arif

“…In SQL (Structured Query Language) databases different algorithms are used for inserting and updating data, such as indexing, bulk insert and multiple updating. …”
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Research on the Computed Tomography Pebble Flow Detecting System for HTR-PM by Xin Wan, Ximing Liu, Jichen Miao, Peng Cong, Yuai Zhang, Zhifang Wu

“…Tracer pebbles can be recognized from many other background pebbles because of their heavy kernels that can be resolved in CT images. …”
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Prediction of all-cause mortality in Parkinson’s disease with explainable artificial intelligence using administrative healthcare data by You Hyun Park, Yong Wook Kim, Dae Ryong Kang, Sang Chul Lee, Seo Yeon Yoon

“…Abstract Many studies have reported increased mortality risk in patients with Parkinson’s disease (PD), but few have investigated the risk factors for PD mortality, including medical and socioeconomic factors. …”
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Consumers’ Perception of Risk Towards Artificial Intelligence Technologies Used in Trade: A Scale Development Study by Pinar Aytekin, Florina Oana Virlanuta, Huseyin Guven, Silvius Stanciu, Ipek Bolakca

“…In today’s digitalizing world, internet, mobile technologies, nanotechnologies and learning algorithms continue to develop and gain essential places in our lives. …”
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Corneal Allografts: Factors for and against Acceptance by Justyna Sakowska, Paulina Glasner, Maciej Zieliński, Piotr Trzonkowski, Leopold Glasner

“…Transplantation of the cornea is performed to treat many ocular diseases. It restores eyesight significantly improving the quality of life. …”
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Big Questions of Artificial Intelligence (AI) in Public Administration and Policy by Mehmet Metin Uzun, Mete Yıldız, Murat Önder

“…The artificial intelligence (AI) ecosystems and algorithms now affect daily lives, communities, and government structures more than ever. …”
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Key frame extraction based abnormal vehicle identification technique using statistical distribution analysis by M. A. Y. Peer Mohamed Appa, V. Vanitha, Priti Rishi, Shrddha Sagar, M. Asha Paul

“…For evaluating performance of KFEAVI, several algorithms are compared with the KFEAVI. The experimental results reveal that the KFEAVI achieved better results in terms of F-score.…”
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GastroHUN an Endoscopy Dataset of Complete Systematic Screening Protocol for the Stomach by Diego Bravo, Juan Frias, Felipe Vera, Juan Trejos, Carlos Martínez, Martín Gómez, Fabio González, Eduardo Romero

“…By providing a robust public dataset and baseline deep learning models for image and sequence classification, GastroHUN serves as a benchmark for future research and aids in the development of more effective algorithms.…”
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