Overview of Robotic Applications in Biomedical Domain by Muthukaruppan VINAITHEERTHAN

“…Soft robots play a crucial role in diagnosing diseases, detecting tumors, and delivering drugs inside the human body. …”
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Constant Weight Space-Time Codes for Dimmable MIMO-VLC Systems by Jia-Ning Guo, Jian Zhang, Yan-Yu Zhang, Gang Xin, Lin Li

“…Simultaneously, we also present the codeword structure and a low implementation complexity detection algorithm for the scheme. Finally, performance analysis and simulation results provide comparisons between the proposed scheme and other existing dimming control schemes.…”
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Compressive Single-Pixel Read-Out of Single-Photon Quantum Walks on a Polymer Photonic Chip by Aveek Chandra, Shuin Jian Wu, Angelina Frank, James A. Grieve

“…Quantum photonic devices operating in the single photon regime require the detection and characterization of quantum states of light. …”
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Assessment of ship-block stacking status based on images obtained from drone and geographic information system data by Young-Soo Han, Kyungho Lee, Byeongwook Nam, Yang Ouk Kim, Youngsu Kim, Hyeon-Bin Yeo

“…Hence, we propose a method for monitoring the block storage status based on drone images and shipyard Geographic Information System (GIS) information to support the efficient use of block stockyards. Shipyard GIS information is mapped onto the image acquired from the drone, and the area of the stacked block is detected in the image. …”
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Underdetermined AOA Estimation Using Non-Uniform Sub-Connected Hybrid Beamforming Systems by Yu-Chen Liu, Hsuan-Jung Su, Yasuhiro Takano

“…The proposed method reduces computational complexity and eliminates iterative procedures for faster processing. …”
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Development of a Collision-Free Path Planning Method for a 6-DoF Orchard Harvesting Manipulator Using RGB-D Camera and Bi-RRT Algorithm by Zifu Liu, Rizky Mulya Sampurno, R. M. Rasika D. Abeyrathna, Victor Massaki Nakaguchi, Tofael Ahamed

“…With the decreasing and aging agricultural workforce, fruit harvesting robots equipped with higher degrees of freedom (DoF) manipulators are seen as a promising solution for performing harvesting operations in unstructured and complex orchard environments. In such a complex environment, guiding the end-effector from its starting position to the target fruit while avoiding obstacles poses a significant challenge for path planning in automatic harvesting. …”
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HARMFUL CONDITIONS ON THE DENTAL STATUS OF POULTRY FARM WORKERS by T. Pupin, O. Kardashevska

“…Producing poultry is related to high concentrations of dust in the air, dust structure is complex, includes various harmful gases, bacteria and fungy. …”
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Integrating artificial intelligence with miniature mass spectrometry by Jiayi Wang, Lingyan Liu, Ting Jiang

“…These AI methods have not only improved the accuracy and efficiency of analysis but have also expanded the applications of miniature mass spectrometry to critical areas such as food safety, agricultural disease detection, and environmental monitoring. …”
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Cooperative Spectrum Sensing for Cognitive Heterogeneous Networking Using Iterative Gauss-Seidel Process by Haleh Hosseini, Kaamran Raahemifar, Sharifah Kamilah Syed Yusof, Alagan Anpalagan

“…ROC curves are depicted using the achieved probability of detection and false alarm by numerical examples to illustrate the efficiency of the proposed algorithm. …”
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DA-Net: Dual Attention Network for Haze Removal in Remote Sensing Image by Namwon Kim, Il-Seok Choi, Seong-Soo Han, Chang-Sung Jeong

“…Moreover, we shall show that the concatenation of channel-spatial attention to parallel attention module enables detecting haze component information more accurately while reducing the model complexity proportional to the number of parameters by combining the channel and spatial information generated respectively from two different channel and spatial branches. …”
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An AI-Driven Particle Filter Technology for Battery System State Estimation and RUL Prediction by Mohamed Ahwiadi, Wilson Wang

“…The main contributions of the AI-PF technique are as follows: (1) A novel dynamic sample degeneracy detection method is proposed to provide real-time assessment of particle weights so as to promptly identify degeneracy and improve computational efficiency. (2) An adaptive crossover and mutation strategy is proposed to reallocate low-weight particles and maintain particle diversity to improve modeling and RUL forecasting accuracy. …”
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The Role of Artificial Intelligence in Medical Imaging: From Diagnosis to Ethical Frontiers by Nouf Abuhadi

“…The challenges AI encounters in radiography include the ‘black box’ issue, accuracy of data, technological and infrastructural complexity, ethical issues such as patient privacy and data security, overreliance on AI, and bias. …”
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Role of artificial intelligence in healthcare insurance: systematic literature review by Ahmed Ali Alkhelb, Salah Alshagrawi

“…Background: The use of artificial intelligence (AI) has been shown to enhance human life quality by making it easier, safer, and more efficient. However, there is currently limited evidence about the applicability of AI in health insurance and easing the complexity of insurance operations. …”
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Acellular porcine placental membranes as a novel biomaterial for tissue repair applications by Gustavo Henrique Doná Rodrigues Almeida, Luan Stefani Lima, Mariana Sversut Gibbin, Beatriz Lopomo, Rafael Oliveira Bergamo, Raquel Souza da Silva, Giovanna Vitória Consani Santos, Bruna Gomes Silva, Isabela Paulillo D’Onofrio, Henrique dos Santos, Lediane Pedroso Silva, Tais da Silva, Henrique Lança Fuzeti, Bianca Fuzeti Candian, Thais Naomi Gonçalves Nesiyama, João Victor Damin, Claudio Guilherme de Assis Oliveira, Lucas Paulo Jacinto Saavedra, Guilherme Henrique Gonçalves de Almeida, Douglas Lopes de Almeida, Jaqueline de Carvalho Rinaldi, Francielle Sato, Mauro Luciano Baesso, Luzmarina Hernandes, Flávio Vieira Meirelles, Rose Eli Grassi Rici, Durvanei Augusto Maria, Paulo Cezar de Freitas Mathias, Ana Claudia Oliveira Carreira, Ana Claudia Oliveira Carreira

“…Biological dressings derived from the extracellular matrix (ECM) of human placental tissues have proven effective in treating complex skin wounds and other anatomical sites, offering potential for new therapeutic applications. …”
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An Improved U-Net-Based Framework for Estimating River Surface Flow Velocity by 周继威, 安国成, 王根一

“…Objective Accurate estimation of river surface flow velocity is critical for optimizing hydropower generation efficiency and enhancing flood warning systems. Existing deep learning models face challenges in generalization due to limited training samples and data heterogeneity across complex river environments. …”
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Research on leakage hazards of embankments based on 3D electrical resistivity tomography technology by Yuehang Zhao, Risheng Wang, Tao Gao, Tao Guo, Xin Guo

“…Leakage is a common issue in reservoirs; however, accurately detecting its location and seepage diameter can be challenging owing to complex geological conditions. …”
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Utilizing GCN-Based Deep Learning for Road Extraction from Remote Sensing Images by Yu Jiang, Jiasen Zhao, Wei Luo, Bincheng Guo, Zhulin An, Yongjun Xu

“…Deep learning-based approaches have demonstrated outstanding performance in road extraction, particularly excelling in complex scenarios. However, extracting roads from remote sensing data remains challenging due to several factors that limit accuracy: (1) Roads often share similar visual features with the background, such as rooftops and parking lots, leading to ambiguous inter-class distinctions; (2) Roads in complex environments, such as those occluded by shadows or trees, are difficult to detect. …”
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Metastases of squamous cell carcinoma in the lymph nodes of the neck without the revealed primary focus by I. G. Komarov, D. A. Karseladze, A. I. Senderovich, A. I. Karseladze, K. V. Smirnova, M. A. Кrylovetskaya

“…The range of treatment methods for SCC is limited, combined and complex methods demonstrate greater efficiency, chemotherapy is less reasonable. …”
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Performance of conventional laboratory tests and Xpert MTB/RIF in the diagnosis of tuberculosis by Natalia Zaporojan, Ramona Hodișan, Andreea Atena Zaha, Claudiu Zaporojan, Dana Carmen Zaha

“… The laboratory diagnosis of tuberculosis (TB) represents a continuous challenge due to the variability and complexity of the required clinical samples. Although molecular technologies have considerably improved diagnostic accuracy, their combined use with traditional methods like microscopy and bacterial culture remains a subject of debate. …”
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Overview of Deep Learning Algorithms and Optimizers for Brain Tumor Segmentation by Nisha Purohit, Chandi Prasad Bhatt

“…Achieved high segmentation accuracy in brain tumor detection, outperforming traditional methods with improved Dice scores, precision, and computational efficiency. …”
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