Optimization of Configuration Design for Underwater Dam Defect Detection Vehicles by Hong-Xia Cheng, Mei-Jie Cao, Peng-Fei Xu, Yan Kai, Zi-Peng Wang, Gang Wan, Qiao Hu

“…Additionally, various configurations were generated using a free deformation method. An optimization function was established with resistance and stability as the objectives, and the optimal result was derived based on the function’s calculation outcomes. …”
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DWS-YOLO: A Lightweight Detector for Blood Cell Detection by Yihai Mao, Hongyi Zhang, Wanqing Wu, Xingen Gao, Zhibin Lin, Juqiang Lin

“…Improved attention, loss function, and suppression enhance detection accuracy, while lightweight C3 module reduces computation time. …”
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Modularity Definition and Optimization Algorithm for Community Detection in Signed Hypergraphs by Wei Du, Guangyu Li

“…Experimental results reveal that the proposed method can effectively optimize the objective function and detect community structures.…”
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Coronary heart disease and the course of newly detected prostate cancer by E. V. Pomeshkin, S. V. Popov, I. N. Orlov, A. I. Bragin-Maltsev, S. A. Pomeshkina, O. L. Barbarash

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Design of real-time detecting system for grain moisture in dryer by HU Yong, JIANG Yong-cheng

“…Methods: The function model of water content and detection frequency is determined by data measurement in multiple sites. …”
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Generative adversarial local density-based unsupervised anomaly detection. by Xinliang Li, Jianmin Peng, Wenjing Li, Zhiping Song, Xusheng Du

“…This approach not only considers different data distributions but also incorporates neighborhood relationships, enhancing anomaly detection accuracy. First, by utilizing the adversarial process of GANs, including the loss function and the rarity of anomaly objects, we constrain the generator to primarily fit the probability distribution of normal objects during the unsupervised training process; Subsequently, a synthetic dataset is sampled from the generator, and the local synthetic density, which is defined by measuring the inverse of the sum of distances between a data point and all objects in its synthetic neighborhood, is calculated; Finally, the objects that show substantial density deviations from the synthetic data are classified as anomaly objects. …”
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Cherry defect and classification detection based on improved YOLOX model by LIU Jing-yu, PEI Yue-kun, CHANG Zhi-yuan, CHAI Zhi, CAO Pei-pei

“…The detection accuracy of the inconspicuous defect was improved by setting the appropriate fusion factor for the feature pyramid network, and in order to solve the problem of imbalance between various types of real samples, Focal Loss was integrated into the loss function. …”
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Detection of egg appreance based on Fasternet and YOLOv5 model by WEI Jingxin, CHEN Zhongju, XU Haoran

“…ObjectiveEfficiently identify eggs with defects on their appearance in the automatic production process.MethodsDesigned a detection model based on fusing Fasternet module and YOLOv5s. …”
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Schizophrenia Detection and Classification: A Systematic Review of the Last Decade by Arghyasree Saha, Seungmin Park, Zong Woo Geem, Pawan Kumar Singh

“…The SZ symptoms can significantly impair daily functioning, underscoring the need for advanced diagnostic tools. …”
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A multimodal approach for ADHD with coexisting ASD detection for children by Jungpil Shin, Sota Konnai, Md. Maniruzzaman, Yoichi Tomioka, Yong Seok Hwang, Akiko Megumi, Akira Yasumura

“…This study investigated from handwriting and executive function viewpoints simultaneously and developed a novel multimodal approach for identifying ADHD with coexisting ASD by fusing pen tablet and fNIRs data. …”
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TATPat based explainable EEG model for neonatal seizure detection by Turker Tuncer, Sengul Dogan, Irem Tasci, Burak Tasci, Rena Hajiyeva

“…Therefore, EEG signal processing is very important for neuroscience and machine learning (ML). The primary objective of this research is to detect neonatal seizures and explain these seizures using the new version of Directed Lobish. …”
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Robust Symbol Detection in Large-Scale Overloaded NOMA Systems by Hiroki Iimori, Giuseppe Thadeu Freitas De Abreu, Takanori Hara, Koji Ishibashi, Razvan-Andrei Stoica, David Gonzalez G., Osvaldo Gonsa

“…</italic>, 2020), the method is not relaxed into the <inline-formula> <tex-math notation="LaTeX">$\ell _{1}$ </tex-math></inline-formula>-norm, but rather approximated with a continuous and asymptotically exact expression without resorting to parallel interference cancellation (PIC). The objective function of the resulting formulation is thus a sum of concave-over-convex ratios, which is then tightly convexified via the quadratic transform (QT), such that its solution can be obtained via the iteration of a simple closed-form expression that closely resembles that of the classic zero-forcing (ZF) receiver, making the method particularly suitable to large-scale set-ups. …”
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Land surface temperature assessment in relation to land-use/land-cover (A case study: Isfahan City, Central Iran) by Sayyad Asghari Saraskanrood, Bahareh Asadi, Ehsan Ghale

“…The reason to do the current study is to compare Single-Channel, SEBAL and Split-Window methods and then choose the best method for estimating land surface temperature. The objectives are as follows: Three independent studies were conducted using a series of Landsat data: (i) to land-use/land-cover (LU/LC) classification by object-oriented method and change detection; (ii) to understand the connection between particular LU/LC class and Land Surface Temperature(LST); and (iii) LST recovery using Single-Channel, SEBAL and Split-Window, as well as comparing these methods together. …”
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Gender Difference in Orthostatic Vascular Stiffness Increase in Young Subjects by Victor N. Dorogovtsev, Dmitry S. Yankevich, Valentina M. Tsareva, Denis A. Punin, Ilya V. Borisov, Natalya N. Dekhnich, Andrey V. Grechko

“…<b>Background/Objectives:</b> Early detection of increased vascular stiffness in young populations may facilitate the development of more effective strategies for the primary prevention of arterial hypertension and other age-related cardiovascular diseases. …”
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A cross-sectional comparative study of the monocyte to high-density lipoprotein cholesterol ratio in normal individuals, type 2 diabetes mellitus, and diabetic nephropathy. by Dr. Shaik Yaseen Chand Basha, Dr.M.Sarala, Daya Truphosa Devara, M.Prasad

“…However, its clinical relevance across the spectrum of diabetes and nephropathy remains underexplored. Objective: To compare the MHR among healthy individuals, patients with type 2 diabetes mellitus, and those with diabetic nephropathy, and to evaluate its correlation with renal function markers. …”
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Towards Parkinson’s Disease Detection Through Analysis of Everyday Handwriting by Jeferson David Gallo-Aristizabal, Daniel Escobar-Grisales, Cristian David Ríos-Urrego, Jesús Francisco Vargas-Bonilla, Adolfo M. García, Juan Rafael Orozco-Arroyave

“…Features extracted from time-dependent signals are represented following two strategies, one based on statistical functionals and the other one based on creating Gaussian Mixture Models (GMMs). …”
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Tennis Timing Assessment by a Machine Learning-Based Acoustic Detection System: A Pilot Study by Lucio Caprioli, Amani Najlaoui, Francesca Campoli, Aatheethyaa Dhanasekaran, Saeid Edriss, Cristian Romagnoli, Andrea Zanela, Elvira Padua, Vincenzo Bonaiuto, Giuseppe Annino

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Optimal vaccination model of airborne infection under variable humidity and demographic heterogeneity for hybrid fractional operator technique by Saima Rashid, Ilyas Ali, Nida Fatima, Tehreem Fatima, Fekadu Tesgera Agam, Sayed K. Elagan

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Pulmonary Artery Pulsatility Index in Acute and Chronic Pulmonary Embolism by Mads Dam Lyhne, Eugene Yuriditsky, Vasileios Zochios, Simone Juel Dragsbaek, Jacob Valentin Hansen, Mads Jønsson Andersen, Søren Mellemkjær, Christopher Kabrhel, Asger Andersen

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Thalidomide alleviated IgA nephropathy through “gut-kidney axis” by Rui-hua Wang, Zhi-jian Zha, Zi-yang Ye, Ya-feng Li

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