Determination of the positioning accuracy of industrial manipulators using a digital photo/video camera by N. V. Norkina, F. A. Mevis

“…The accuracy of positioning is influenced by the design features of the robot manipulator, the speed of movement and rotation of the manipulator, intermediate stops and accelerations, vibrations, both own and caused by the location of the robot in production. …”
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Masses of Hadrons, Tetraquarks, and Pentaquarks Through a Tsallis-Entropy Approach in the MIT Bag Model by Vanesa Fernández, Gerardo Herrera Corral, Manuel A. Matías Astorga, Jesús M. Sáenz

“…We compute the system’s internal energy and derive expressions for hadronic masses, showing how they depend on the Tsallis parameter. …”
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A dual-task segmentation network based on multi-head hierarchical attention for 3D plant point cloud by Dan Pan, Baijing Liu, Lin Luo, An Zeng, Yuting Zhou, Kaixin Pan, Zhiheng Xian, Yulun Xian, Yulun Xian, Licheng Liu

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Agent-Based Adaptive Dynamic Round Robin (AADRR) Scheduling Algorithm by Zafar Iqbal Khan, Muzafar Khan, Syed Nasir Mehmood Shah

“…This agent operates independently by keeping an eye on system parameters and making the required adjustments in real-time without requiring human intervention. …”
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A secure and energy-efficient routing using coupled ensemble selection approach and optimal type-2 fuzzy logic in WSN by S. Ambareesh, Pundalik Chavan, S. Supreeth, Rajesh Nandalike, P. Dayananda, S. Rohith

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A dynamic global backbone updating for communication-efficient personalised federated learning by Zhao Yang, Qingshuang Sun

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SolarSegNet: A multimodal frequency-aware network for photovoltaic power stations extraction using Sentinel-1 and Sentinel-2 images in coastal China by Fangxiong Wang, Zhiying Liao, Yingzi Hou, Zhenqi Cui, Yiqi Wang, Jiachen Gong, Haomiao Yu, Junfu Wang, Yuanyi Zhu, Qiao Yu, Jianfeng Zhu

“…Training and comparative experiments on the newly constructed PV benchmark dataset demonstrated that SolarSegNet significantly improved segmentation accuracy (with IoU, Precision, and Recall enhanced by 1.49%, 0.89%, and 0.90%, respectively) and reduced computational complexity (with parameters decreased by 165.5M and FLOPS reduced by 77.52G). …”
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Real-time diagnosis of multi-category skin diseases based on IR-VGG by Ling TAN, Shanshan RONG, Jingming XIA, Sarker SAJIB, Wenjie MA

“…Malignant skin lesions have a very high cure rate in the early stage.In recent years, dermatological diagnosis research based on deep learning has been continuously promoted, with high diagnostic accuracy.However, computational resource consumption is huge and it relies on large computing equipment in hospitals.In order to realize rapid and accurate diagnosis of skin diseases on Internet of things (IoT) mobile devices, a real-time diagnosis system of multiple categories of skin diseases based on inverted residual visual geometry group (IR-VGG) was proposed.The contour detection algorithm was used to segment the lesion area of skin image.The convolutional block of the first layer of VGG16 was replaced with reverse residual block to reduce the network parameter weight and memory overhead.The original image and the segmented lesion image was inputed into IR-VGG network, and the dermatological diagnosis results after global and local feature extraction were outputed.The experimental results show that the IR-VGG network structure can achieve 94.71% and 85.28% accuracy in Skindata-1 and Skindata-2 skin diseases data sets respectively, and can effectively reduce complexity, making it easier for the diagnostic system to make real-time skin diseases diagnosis on IoT mobile devices.…”
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Prediction of the tensile strength of sandstones using image processing and GMDH techniques by Amin Taheri-Garavand, Yasin Abdi, Yudong Zhang

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Comparison of the burden of musculoskeletal disorders between China and worldwide data using the global burden of disease dataset from 1990 to 2021 by Zhongbiao Nie, Ran Zhang, Yaoyao Guo, Xiang Wang, Kai Zhang, Haoliang Zhao

“…To represent the trends in the burden of MSK disorders, the average annual percentage change (AAPC) was computed using Joinpoint. Age, gender were important parameters that were used a comparative study of the disparities in the burden of MSK disorders between China and the global.Results The worldwide ASIR of MSK disorders rose from 4641.50 to 4358.54 between 1990 and 2021, and China fell from 4039.13 to 3634.09 per 100,000. …”
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A Differentiable Binary Microlensing Model Using Adaptive Contour Integration Method by Haibin Ren, Wei Zhu

“…The key feature of microlux is the implementation of a modified version of the adaptive sampling algorithm that was originally proposed by V. …”
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Clinical and Imaging Characteristics of Patients with Cervical Compressive Myelopathy Presenting with Unilateral Motor Deficits by Masatsune Sato, Hisanori Mihara, Hyonmin Choe, Takanori Niimura, Yuji Kawashima, Yutaka Inaba

“…Although the pathological classification of cervical myelopathy is well established, the quantitative analysis of its imaging features remains underexplored. This study quantitatively evaluated the imaging characteristics of unilateral motor deficit cervical compressive myelopathy. …”
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DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

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Identifying gaps and optimising clinical practice and guideline of adrenal incidentaloma management by Chan Khin, Samriaz Nafees, Muhammad Haroon Riasat, Riya Raphael, Mojeed Adiat, Nicholas Mcwhirter, Fatima Ali

“…Most lesions were unilateral (87.9%) and <4 cm (94.8%), with 58.3% showing Hounsfield units <10 on non-contrast CT, indicating benign features. Hormonal workup was performed in only 53.4% of patients, with the 1 mg dexamethasone suppression test conducted in 32.8%. …”
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A bit closer to the past: the three-dimensionalization of an Inca ceremony in the north Calchaquí Valley (Salta, Argentina) by Alejandro Andrés Ferrari, Joaquín Ignacio Izaguirre, Félix Alejandro Acuto

“…Highlights: • Inca public performances were finely choreographed so that objects, places, people, landscape, and skyscape features interacted according to the main principles of imperial cosmology…”
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A Real-Time Green and Lightweight Model for Detection of Liquefied Petroleum Gas Cylinder Surface Defects Based on YOLOv5 by Burhan Duman

“…The architecture integrates ghost convolution and ECA blocks to improve feature extraction with less computational overhead in the network’s backbone. …”
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Double-diffusive mixed convection and entropy generation of Fe3O4-CoFe2O4-water hybrid nanofluid in an enclosure with a heated wavy cylinder by Sharaban Thohura, Md. Mamun Molla

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Assessment of the Diagnostic Accuracy of Artificial Intelligence Software in Identifying Common Periodontal and Restorative Dental Conditions (Marginal Bone Loss, Periapical Lesion... by Wael I. Ibraheem, Saurabh Jain, Mohammed Naji Ayoub, Mohammed Ahmed Namazi, Amjad Ismail Alfaqih, Aparna Aggarwal, Abdullah A. Meshni, Ammar Almarghlani, Abdulkareem Abdullah Alhumaidan

“…A pre-trained AI-based computer-aided detection (“CADe”) software (Second Opinion^®, version 1.1) was used for the detection of the predefined features. …”
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Metastatic neuroendocrine tumor with extensive bone marrow involvement at diagnosis: Evaluation of response and hematological toxicity profile of PRRT with 177Lu-DOTATATE by Sandip Basu, Rohit Ranade, Pradeep Thapa

“…The selected patients were analyzed for the following: (i) Patient and lesional characteristics, (ii) associated metastatic burden, (iii) hematological parameters at diagnosis and during the course of therapy, (iv) response to PRRT (using a 3-parameter assessment: Symptomatic including Karnofsky/Lansky performance score, biochemical finding, and scan finding), (v) dual tracer imaging features [with somatostatin receptor imaging (SRI) and fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT)]. …”
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Global monopole in a Ricci-coupled Kalb–Ramond bumblebee gravity by Fernando M. Belchior, Roberto V. Maluf, Albert Yu. Petrov, Paulo J. Porfírio

“…This modified theory of gravity possesses the notable feature of incorporating local Lorentz symmetry breaking (LSB) via a spontaneous symmetry-breaking mechanism. …”
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