Interfered feature elimination coupled with feature group selection for wound infection detection by electronic nose. by Jia Liu, Jinglei Zhang, Shaoqi Zhang, Kaiwei Li, Xiang Li, Shuo Zhang, Hang Gu, Zhen Chen, Chao Liu, Nan Zhang, Tong Sun

“…To reduce the cost of sensors and improve or maintain e-nose's performance, efficient optimization of sensor arrays is required. For this issue, we proposed a new sensor array optimization algorithm named Interfered Feature Elimination coupled with Feature Group Selection (IFE-FGS). …”
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Simultaneous Determination of Dexamethasone, Ondansetron, Granisetron, Tropisetron, and Azasetron in Infusion Samples by HPLC with DAD Detection by Fu-chao Chen, Lin-hai Wang, Jun Guo, Xiao-ya Shi, Bao-xia Fang

“…A simple and rapid high-performance liquid chromatography with diode array detector (HPLC-DAD) method has been developed and validated for simultaneous quantification of five antiemetic agents in infusion samples: dexamethasone, ondansetron, granisetron, tropisetron, and azasetron. …”
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Implementation of Image Enhancement and Edge Detection Algorithm on Diabetic Retinopathy (DR) Image Using FPGA by Mumtahina Orthy, Sheikh Md. Rabiul Islam, Faijah Rashid, Md. Asif Hasan

“…The proposed model is utilized to articulate a proficient model for the design and execution of field programable gate array (FPGA)-based image enhancement processes along with the Sobel edge detection algorithm upon DR images. …”
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Early Detection of Alzheimer’s Disease via Machine Learning-Based Microwave Sensing: An Experimental Validation by Leonardo Cardinali, Valeria Mariano, David O. Rodriguez-Duarte, Jorge A. Tobón Vasquez, Rosa Scapaticci, Lorenzo Crocco, Francesca Vipiana

“…We design a conformal six-element antenna array placed on the upper portion of the head, operating in the 500 MHz to 6.5 GHz band. …”
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The Artificial Intelligence-Enhanced Echocardiographic Detection of Congenital Heart Defects in the Fetus: A Mini-Review by Khadiza Tun Suha, Hugh Lubenow, Stefania Soria-Zurita, Marcus Haw, Joseph Vettukattil, Jingfeng Jiang

“…In this review paper, we first outline the technical background of AI and echocardiography and then present an array of clinical applications, including image quality control, cardiac function measurements, defect detection, and classifications. …”
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A Sensitive THz Fingerprint Sensor Based on Silicon Cylindrical Trimers for the Detection of Kresoxim-methyl by Wanxin Nie, Mengya Pan, Yanpeng Shi, Wenbin Shu, Huanyu Li, Wenyao Yu, Shuo Liu, Yifei Zhang

“…This paper proposes a THz metamaterial sensor for detecting ether kresoxim-methyl. The sensor comprises a periodic array of silicon cylindrical trimers organized on a silicon substrate. …”
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Advancing electrochemical sensing: A smart platform for accurate CRP level detection in neonatal septicaemia by Sapna Balayan, Nidhi Chauhan, Vinita Hooda, Ramesh Chandra, Warren Rosario, Utkarsh Jain

“…Conventional methodologies such as radiological imaging, microbial testing, blood culture, and inflammatory markers suffer from an array of constraints for prompt detection of infection. …”
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Low-complexity detection for MIMO visible light communication system using generalized spatial modulation by Wei-Chiang Wu, Gan-Lin Chen

“…Existing maximum likelihood (ML) detection algorithm is computationally prohibitive; hence, we develop a two-stage (identification followed by detection) receiver that decodes the spatial and temporal symbols in a sequential manner. …”
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Pico-Scale Digital PCR on a Super-Hydrophilic Microarray Chip for Multi-Target Detection by Qingyue Xian, Jie Zhang, Yu Ching Wong, Yibo Gao, Qi Song, Na Xu, Weijia Wen

“…Utilizing hydrodynamic principles, our platform enables the formation of a uniform array of 120-pL independent reaction units within a closed channel. …”
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Flow-Based Dielectrophoretic Biosensor for Detection of Bacteriophage MS2 as a Foodborne Virus Surrogate by Inae Lee, Heejin So, Kacie K. H. Y. Ho, Yong Li, Soojin Jun

“…Norovirus, a foodborne pathogen, causes a significant economic and health burden globally. Although detection methods exist, they are expensive and non-field deployable. …”
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Follow-up of Neutron Star Mergers with CTA and Prospects for Joint Detection with Gravitational-wave Detectors by T. Mondal, S. Chakraborty, L. Resmi, D. Bose

“…In this paper, we investigate the joint detection probabilities of BNS mergers by GW detectors and the upcoming ground-based very-high-energy (VHE) γ -ray instrument, the Cherenkov Telescope Array (CTA). …”
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Detection of Salmonella spp. Related Co-Infections Among Children with Diarrheal Diseases in Guangzhou, China by Mai Q, Luo Y, Ye R, Jiang Y, Qin Y, Guo J, Lai W, Wu Y, Luo M

“…This study aimed to assess the prevalence of Salmonella infection and its co-infection patterns in relation to clinical symptoms.Methods: A total of 430 stool samples of children with diarrheal diseases were collected from Guangdong Women and Children’s Hospital during January 2022 to December 2023 and used for detection. BioFire FilmArray Gastrointestinal (GI) Panel is an efficient and sensitive method used to assess infections caused by enteric pathogens simultaneously based on multiplex polymerase chain reaction (PCR) technologies.Results: Salmonella spp. was classified as the predominant pathogen in all stool specimens, with an overall positivity rate of 36.74% (158/430), of which 35.44% (56/158) were identified as Salmonella single infection. …”
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Recurrent and convolutional neural networks in classification of EEG signal for guided imagery and mental workload detection by Filip Postepski, Grzegorz M. Wojcik, Krzysztof Wrobel, Andrzej Kawiak, Katarzyna Zemla, Grzegorz Sedek

“…This paper presents the results of the investigations of a cohort of 26 students exposed to Guided Imagery relaxation technique and mental task workloads conducted with the use of dense array electroencephalographic amplifier. The research reported herein aimed at verification whether it is possible to detect differences between those two states and to classify them using deep learning methods and recurrent neural networks such as EEGNet, Long Short-Term Memory-based classifier, 1D Convolutional Neural Network and hybrid model of 1D Convolutional Neural Network and Long Short-Term Memory. …”
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SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder by Andrea Pollastro, Francesco Isgrò, Roberto Prevete

“…Over the past few decades, electroencephalography monitoring has become a pivotal tool for diagnosing neurological disorders, particularly for detecting seizures. Epilepsy, one of the most prevalent neurological diseases worldwide, affects approximately 1% of the population. …”
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Liquid Metal Reversible Contacts for Flexible Tactile Sensor with High Sensitivity and Wide Detection Range by Shuai Dong, Gang Ma, Zhaowan Xiong, Du‐An Ge, Yipu Guo, Weihua Li, Shiwu Zhang

“…The novel sensor consists of an LMD array in which each pair of droplets is connected by an electrolyte solution within the polydimethylsiloxane microchannel grid. …”
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AI-Driven Ensemble Classifier for Jamming Attack Detection in VANETs to Enhance Security in Smart Cities by Walid El-Shafai, Ahmad Taher Azar, Saim Ahmed

“…In response to this challenge, our study introduces an innovative artificial intelligence (AI) model, meticulously engineered to detect jamming attacks in VANETs. This model represents a synergistic integration of an array of machine learning (ML) and deep learning (DL) classifiers, meticulously analyzing signal characteristics within VANET communication channels. …”
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First Robust Detection of Linear Polarization from Metric Solar Emissions: Challenging Established Paradigms by Soham Dey, Devojyoti Kansabanik, Divya Oberoi, Surajit Mondal

“…Here we present the first robust evidence of linear polarization from solar emissions at meter wavelengths using simultaneous measurements with two telescopes of very different designs separated by thousands of kilometers—the Murchison Widefield Array and the upgraded Giant Metrewave Radio Telescope. …”
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Efficient quantum random number generation via simultaneously detecting photons in temporal and spatial dimensions by Bingkun Wang, Jianyong Hu, Xingjian Li, Jianqiang Liu, Shuxiao Wu, Haizhen Li, Liwen Zhang, Changgang Yang, Zhixing Qiao, Ruiyun Chen, Guofeng Zhang, Chengbing Qin, Liantuan Xiao, Suotang Jia

“…We achieved simultaneous detection of photon arrival time and spatial position by employing a laboratory-developed 5 × 5 single-photon detector array and a high-saturation count rate multichannel time-to-digital converter. …”
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Clinical comparison of two human papillomavirus detection assays: GenoFlow and reverse line blot by Fatimah S Alhamlan, Hadeel H Khayat, Dalia A Obeid, Asma M Tulba, Teejan S Baduwais, Mohamed B Alfageeh, Mohammed N Al-Ahdal

“…Here, we compared results of the recently developed GenoFlow HPV array test, which detects 33 HPV genotypes, to those of the well-established reverse line blot (RLB) assay, which detects 23 HPV types. …”
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Detection of actionable mutations in circulating tumor DNA for non-small cell lung cancer patients by Paul van der Leest, Pim Rozendal, Naomi Rifaela, Anthonie J. van der Wekken, Hanneke Kievit, Vincent D. de Jager, Grigory Sidorenkov, Léon C. van Kempen, T. Jeroen N. Hiltermann, Ed Schuuring

“…Abstract Background Liquid biopsy approaches, especially the detection of circulating tumor DNA (ctDNA), are emerging as sensitive and reliable surrogates for tumor tissue-based routine diagnostic testing. …”
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