Monitoring of polymer viscosity by simultaneous ultrasonic and rheological measurements at high and varying temperatures by Nesrine Houhat, Thibaut Devaux, Samuel Callé, Laksana Saengdee, Séverine Boucaud Gauchet, François Vander Meulen

“…It enables more accurate detection of the onset of polymer crystallization. …”
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Diagnostic Utility of Broad Range Bacterial 16S rRNA Gene PCR with Degradation of Human and Free Bacterial DNA in Bloodstream Infection Is More Sensitive Than an In-House Developed... by Petra Rogina, Miha Skvarc, David Stubljar, Romina Kofol, Achim Kaasch

“…A diagnostic algorithm using CD64 index as a decision maker to perform SepsiTest shows improved detection of pathogens in patients with suspected blood stream infection and may enable earlier targeted antibiotic therapy.…”
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Graph Evolution Rules Meet Communities: Assessing Global and Local Patterns in the Evolution of Dynamic Networks by Alessia Galdeman, Matteo Zignani, Sabrina Gaito

“…In this paper, we comprehensively explore GERs in dynamic networks from diverse systems with a focus on the rules characterizing the formation and evolution of their modular structures, using EvoMine for GER extraction and the Leiden algorithm for community detection. We characterize network and module evolution through GER profiles, enabling cross-system comparisons. …”
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A TMR Sensor Array for Non-Invasive Current Measurement in Three-Phase Cable and Error Analysis by Ruixi Luo, Hui He, Qiang Shi, Junyi Cai, Ziyang Ye, Xiang Zhang

“…With the development of tunnel magnetoresistance (TMR) sensor technology, the application of non-invasive and non-contact current detection technology is receiving more and more attention. …”
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MOCA: A Low-Power, Low-Cost Motion Capture System Based on Integrated Accelerometers by Elisabetta Farella, Luca Benini, Bruno Riccò, Andrea Acquaviva

“…Recognition is based on a geometric algorithm that enables efficient and robust detection of rotational movements. …”
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THE ROLE OF ARTIFICIAL INTELLIGENCE IN PERSONALISED MEDICINE: ADVANCEMENTS, CHALLENGES, AND FUTURE PERSPECTIVES by Ioana-Marcela PĂCURARU, Ciprian-Sorin CHIRVASE, Ştefan-Ioan TIRITEU

“…By leveraging vast amounts of data, AI enhances early disease detection, tailors treatments to individual patients, and optimises medical resource management. …”
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Noise correlations and neuronal diversity may limit the utility of winner-take-all readout in a pop out visual search task. by Ori Hendler, Ronen Segev, Maoz Shamir

“…The inherent neuronal heterogeneity prevents the single-best-cell WTA from accumulating information even from large populations, whereas the accuracy of the generalized population-based WTA algorithm is negatively affected by the widely reported noise correlations. …”
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Artificial intelligence in electroencephalography analysis for epilepsy diagnosis and management by Chenxi Wang, Chenxi Wang, Xinyue Yuan, Wei Jing

“…Crucially, AI outputs require clinician verification alongside multidimensional clinical data.DiscussionFuture research must prioritize algorithm optimization, data quality improvement, and enhanced AI transparency. …”
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Mixed Event-Frame Vision System for Daytime Preceding Vehicle Taillight Signal Measurement Using Event-Based Neuromorphic Vision Sensor by Zhengfa Liu, Guang Chen, Ya Wu, Jiatong Du, Jörg Conradt, Alois Knoll

“…An important aspect of the perception system for intelligent vehicles is the detection and signal measurement of vehicle taillights. …”
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Machine Learning and Deep Learning Techniques for Prediction and Diagnosis of Leptospirosis: Systematic Literature Review by Suhila Sawesi, Arya Jadhav, Bushra Rashrash

“…MethodsUsing Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS), and Prediction model Risk of Bias Assessment Tool (PROBAST) tools, we conducted a comprehensive review of studies applying ML and DL models for leptospirosis detection and prediction, examining algorithm performance, data sources, and validation approaches. …”
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Overview and Comparison of Deep Neural Networks for Wildlife Recognition Using Infrared Images by Peter Sykora, Patrik Kamencay, Roberta Hlavata, Robert Hudec

“…To automatically classify objects in such images, an algorithm suited for single-channel image processing is required. …”
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Research on Self-Diagnosis and Self-Healing Technologies for Intelligent Fiber Optic Sensing Networks by Ruiqi Zhang, Liang Fan, Dongzhu Lu

“…To address the issue of insufficient reliability of fiber optic sensing networks in complex environments, this study proposes a self-diagnosis and self-healing method based on intelligent algorithms. This method integrates redundant fiber paths and a fault detection mechanism, enabling rapid data transmission recovery through redundant paths during network faults, ensuring the stable operation of the monitoring system. …”
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Comparison of Faster R-CNN and YOLOv5 for Overlapping Objects Recognition by Muhamad Munawar Yusro, Rozniza Ali, Muhammad Suzuri Hitam

“…In this project, Faster R-CNN and YOLOv5 algorithms were proposed to detect and classify an overlapping object in a kitchen area.  …”
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Node Classification Method Based on Hierarchical Hypergraph Neural Network by Feng Xu, Wanyue Xiong, Zizhu Fan, Licheng Sun

“…The HCHG combines the high-order relationship-capturing capability of hypergraphs, uses the Louvain community detection algorithm to identify community structures within the network, and constructs hypergraphs layer by layer. …”
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Tuberculosis Lesion Segmentation Improvement in X-Ray Images Using Contextual Background Label by Sahasat Khumang, Supaporn Kansomkeat, Wiwatana Tanomkiat, Sathit Intajag

“…Pulmonary tuberculosis (PTB) is a serious, potentially fatal, infectious disease that primarily affects the lungs, and poses a significant threat to public health. To detect PTB at an early stage by screening chest X-Ray (CXR) images for tuberculosis (TB) lesions, we propose a semantic segmentation scheme that uses a deep learning algorithm. …”
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Learning Transferable Convolutional Proxy by SMI-Based Matching Technique by Wei Jin, Nan Jia

“…We design an iterative algorithm to update the parameters alternately and test it over benchmark data sets of abnormal behavior detection in video, Amazon product reviews sentiment analysis, etc.…”
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HyenaCircle: a HyenaDNA-based pretrained large language model for long eccDNA prediction by Fuyu Li, Wenxiang Lu, Yunfei Bai

“…Long eccDNAs (typically 1–5 kb) pose detection challenges due to their large size, hindering functional studies. …”
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A method to evaluate the functional state of the human brain after acute in-hospital stroke by K. S. Brazovskii, D. A. Vinokurova, V. A. Strezh, V. Yu. Ussov

“…A new integral coefficient of the functional state was introduced, and an algorithm to calculate the proposed measure of the functional activity of the central nervous system was developed and implemented.Results. …”
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A METHOD OF ELIMINATING MALICIOUS PERTURBATIONS EMBEDDED BY L0-OPTIMIZED ATTACKS by Dmitry A. Yesipov, Nikita S. Sulimenko, Ilya Yu. Popov

“…Transformations such as bilinear interpolation and Telea algorithm were considered to restore modified pixels. …”
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Automatic Reading Method for Analog Dial Gauges with Different Measurement Ranges in Outdoor Substation Scenarios by Yueping Yang, Wenlong Liao, Songhai Fan, Jin Hou, Hao Tang

“…However, existing dial reading recognition algorithms face significant errors in complex scenarios and struggle to adapt to dials with different measurement ranges. …”
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