Multi-Comparison of Different Ocular Imaging Modality-based Deep Learning Models for Visually Significant Cataract Detection by Jocelyn Hui Lin Goh, BEng, Xiaofeng Lei, MSc, Miao-Li Chee, MPH, Yiming Qian, PhD, Marco Yu, PhD, Tyler Hyungtaek Rim, MD, PhD, Simon Nusinovici, PhD, David Ziyou Chen, MBBS, FRCOphth, Kai Hui Koh, BSc, Samantha Min Er Yew, BSc, Yibing Chen, BEng, Victor Teck Chang Koh, MBBS, MMed, Charumathi Sabanayagam, MD, PhD, Tien Yin Wong, MD, PhD, Xinxing Xu, PhD, Rick Siow Mong Goh, PhD, Yong Liu, PhD, Ching-Yu Cheng, MD, PhD, Yih-Chung Tham, PhD

“…Participants: Across all the models, the Singapore Malay Eye Study data set was used for training (N = 7093 eyes) and internal testing (N = 1649 eyes). …”
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Enhanced Community Detection via Convolutional Neural Network: A Modified Approach Based on MRFasGCN Algorithm by Puneet Kumar, Dalwinder Singh, Mamoona Humayun, Ali Alqazzaz, Arun Malik, Ibrahim Alrashdi, Isha Batra, Ghadah Naif Alwakid

“…After Experiments NMI value for MRFasGCN on DBLP data set is 0.662 while for Modified MRFasGCN it is 0.672, Modified MRFasGCN algorithm provides significant improvement of 2.9% in performance as compared to MRFasGCN. …”
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Expecting the expected – learning from the past to provide forward scenarios through geomorphic change detection, monitoring and modeling by G. Bossi, M. Cavalli, M. Mantovani, F. T. Catelan, A. Ballaera, F. Ceccotto, G. Marcato, A Pasuto

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The probability of lung cancer in patients with pulmonary nodules detected via low-dose computed tomography screening in China by Lan-Wei Guo, Zhang-Yan Lyu, Yin Liu, Qing-Cheng Meng, Li-Yang Zheng, Qiong Chen, Hui-Fang Xu, Rui-Hua Kang, Shu-Zheng Liu, Shao-Kai Zhang

“…Methods We conducted a prospective cohort study to develop and internally validate the model using data from the ongoing Henan province Cancer Screening Program in Urban China (CanSPUC). …”
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Development of a cELISA for effective detection of the antibody against H7 subtype of avian influenza virus by Cong-cong WANG, Si-wen WANG, Ying ZHANG, Jian-zhong SHI, Xin YIN, Cheng-jun LI, Xiu-rong WANG

“…And the repeatability experiment revealed that the coefficients of variation (CV) of intra- and inter-batch repetition were all less than 12%. The data indicated that the cELISA antibody-detection method established in this study provided a simple and accurate technical support for the detection of a large number of antibody samples of H7-AIV.…”
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Intelligent Control Valve Stiction Diagnosis Approach by Sami El-Ferik, Mustafa Al-Naser, Abrar Al-Amoudi, Abdullatif Al-Najim, Karim Asif Sattar

“…In order to implement the proposed approach, we used state-of-the-art signal processing and machine learning techniques to develop a trustworthy strategy for stiction analysis applicable to a wide variety of operating setups, such as cascade loops and settings variations. Testing this approach on publicly available industrial data showed that it worked well for all tested scenarios to detect the stiction and provided an accurate estimate of the stiction value.…”
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Prevalence of common respiratory viruses in children: insights from post-pandemic surveillance by Constance Adu-Gyamfi, Jesse Addo Asamoah, James Opoku Frimpong, Richard Larbi, Richard Owusu Ansah, Sherihane Naa Ayeley Aryeetey, Richmond Gorman, Henry Kyeremateng Acheampong, Emmanuella Nyarko-Afriyie, Manuella Hayford, Henrietta Dede Tetteh, Kwadwo Boampong, Veronica Barnor, Peter K. Brenya, Frederick Ayensu, Nana Kwame Ayisi-Boateng, Philip El-Duah, Christian Drosten, Richard Odame Phillips, Augustina Angelina Sylverken, Michael Owusu

“…Surveillance of common respiratory viruses in Ghana is limited, making it crucial to assess the prevalence of respiratory viral infections, particularly in children, in the post-pandemic era. This study provides data on the prevalence of respiratory viruses and the associated risk factors in symptomatic children aged 5 or younger in an urban paediatric hospital setting. …”
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Diagnosing epileptic seizures using combined features from independent components and prediction probability from EEG data by Madiha Khalid, Ali Raza, Adnan Akhtar, Furqan Rustam, Julien Brito Ballester, Carmen Lili Rodriguez, Isabel de la Torre Díez, Imran Ashraf

“…Results The research gap is addressed using combined features to improve the performance of epileptic seizure detection compared to a single feature set. In particular, the ensemble model FIR with support vector machine (FIR + SVM) outperforms other methods, achieving an accuracy of 98.4% for epileptic seizure detection. …”
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Unsupervised Binary Classifier-Based Object Detection Algorithm with Integrated Background Subtraction Suitable for Use with Aerial Imagery by Gabija Veličkaitė, Ignas Daugėla, Ivan Suzdalev

“…This bias is intentional, as missing a human target in search and rescue applications carries a higher cost than producing additional false detections. While supervised models, such as YOLOv5, perform well on data resembling their training sets, they exhibit significant performance degradation on previously unseen footage. …”
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Replication Study of “Visual Fixation on the Thorax Predicts Bystander Breathing Detection in Simulated Out-of-Hospital Cardiac Arrest” by Marco Pedrotti

“…In 2022, we published a simulation study (Study 1; n = 96)which found that instructing lay responders to look at chest movement enables them to detect breathing. To expand the evidence and available data on this topic, we attempted a replication (Study 2; n= 73).Methods: Participants equipped with an eye tracker entered a room where a manikin, randomly set as breathing or unbreathing, lying on the floor. …”
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Fault Detection of Cyber-Physical Systems Using a Transfer Learning Method Based on Pre-Trained Transformers by Pooya Sajjadi, Fateme Dinmohammadi, Mahmood Shafiee

“…To address these challenges, this paper proposes a transfer learning approach using a pre-trained transformer architecture to enhance fault detection performance in CPSs. A streamlined transformer model is first pre-trained on a large-scale source dataset and then fine-tuned end-to-end on a smaller dataset with a differing data distribution. …”
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A Dual-Perspective Self-Supervised IoT Intrusion Detection Method Based on Topology Reconstruction and Feature Perturbation by Ruisheng Li, Huimin Shen, Qilong Zhang

“…The model was evaluated on four public datasets, and the experimental results demonstrate that the proposed method significantly improves detection performance. It outperforms existing self-supervised graph neural network models, validating the applicability of this approach in settings with unlabeled data.…”
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A Decade of Progress in Wearable Sensors for Fall Detection (2015–2024): A Network-Based Visualization Review by Yifei Li, Pei Liu, Yan Fang, Xiangyuan Wu, Yewei Xie, Zhongzhi Xu, Hao Ren, Fengshi Jing

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A comparative study of convolutional neural networks and traditional feature extraction techniques for adulteration detection in ground beef by Leila Bahmani, Saied Minaei, Alireza Mahdavian, Ahmad Banakar, Mahmoud Soltani Firouz

“…Therefore, notable efforts have been made to find fast, non-destructive and efficient methods to detect adulteration in minced meat. In this research, thermal imaging was investigated to detect adulteration of ground beef in two data sets that included sheep lung and chicken gizzard as impurities. …”
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Hot Spot Detections and Volcanic Changes on Io during the Juno Epoch: Orbits PJ5 to PJ55 by Jason E. Perry, Ashley Gerard Davies, David A. Williams, David M. Nelson

“…Volcanic activity at Tonatiuh and Guaraci Fluctus, the sites of newly imaged lava flows, are examined in detail. At Tonatiuh, JunoCam data provide important context; at Guaraci Fluctus, the combination of data from multiple assets yields a comprehensive understanding of the evolution of a specific eruption episode. …”
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Non-parametric Kernel Estimation of Weighted Dynamic Cumulative Past Inaccuracy Measure Based on Censored Data by K.V. Viswakala, E.I. Abdul Sathar

“…The inaccuracy measure has recently become a valuable tool for detecting errors in experimental data. This measure applies only when random variables have density functions. …”
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Development of a Fully Automated Microfluidic Electrochemical Sensor on the ESSENCE Platform for Rapid Detection of Single-Stranded DNA by Niranjan Haridas Menon, Maryom Rahman, Sagnik Basuray

“…Future applications involve functionalizing SWCNTs with relevant antibodies to enhance the platform’s capabilities for detecting a diverse range of target molecules in clinical settings.…”
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Identification of recurrences in women diagnosed with early invasive breast cancer using routinely collected data in England by Jake Probert, David Dodwell, John Broggio, Robert Coleman, Helen Marshall, Sarah C. Darby, Gurdeep S. Mannu

“…We then evaluated its performance using data for the remaining 1930 women in England in the AZURE trial. …”
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Aetiological agents of adult community-acquired pneumonia in Japan: systematic review and meta-analysis of published data by Hiroshi Takahashi, Hiroshi Mukae, Kazuhiro Yatera, Nobuyuki Horita, Yuji Fujikura, Kohei Somekawa, Toshie Manabe, Futoshi Higa, Naoyuki Miyashita, Yoshifumi Imamura, Naoki Iwanaga, Akihiko Kawana

“…This study aimed to clarify the epidemiology of community-acquired pneumonia (CAP) by conducting a systematic review of published studies in Japan.Design Systematic review.Data source PubMed and Ichushi web database (January 1970 to October 2022).Eligibility criteria Clinical studies describing pathogenic micro-organisms in CAP written in English or Japanese, excluding studies on pneumonia other than adult CAP, investigations limited to specific pathogens and case reports.Data extraction and synthesis Patient setting (inpatient vs outpatient), number of patients, concordance with the CAP guidelines, diagnostic criteria and methods for diagnosing pneumonia pathogens as well as the numbers of each isolate. …”
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Driving Cognitive Alertness Detecting Using Evoked Multimodal Physiological Signals Based on Uncertain Self-Supervised Learning by Pengbo Zhao, Cheng Lian, Bingrong Xu, Yixin Su, Zhigang Zeng

“…First, in order to mine the intrinsic information of data and enable data to highlight effective information, we introduce a multiscale entropy (MSE) evoked attention mechanism. …”
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