Multi-material and multi-scale platform for robotic based in situ bioprinting by Andrea Guerra, Gabriele Maria Fortunato, Elisa Batoni, Giovanni Vozzi, Carmelo De Maria

“…The automated tool change features specific Radio-Frequency Identification tags, introducing the robot's capability to autonomously locate and recognize the tool to connect with. Control algorithms for the new tools were implemented for printing path planning. …”
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High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats by Erin McDonald, Eric Kehoe, Darcy Deines, Mary McCarthy, Brie Wright, Susan Huse

“…Our analysis uses machine learning and statistical algorithms to perform unsupervised clustering, multiple visualizations, and statistical analysis of high parameter flow cytometry data. …”
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Towards a Low-Cost Mobile Subcutaneous Vein Detection Solution Using Near-Infrared Spectroscopy by Simon Juric, Vojko Flis, Matjaz Debevc, Andreas Holzinger, Borut Zalik

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An Improved Maximum Power Point Approach for Temperature Variation in PV System Applications by Abdelkhalek Chellakhi, Said El Beid, Younes Abouelmahjoub

“…This MPPT approach can be added to numerous existing MPPT algorithms in order to enhance their tracking accuracy and response time and to reduce the power loss. …”
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SFC-Based IoT Provisioning on a Hybrid Cloud-Fog Computing with a Minimized Latency by Dawit Asmero Atinafu, Muluneh Mekonnen Tulu

“…To find a suitable host for each service function (SF) request, a typical migration algorithm has been used. However, this approach delayed the response due to propagation delays in searching for a valid nearby node. …”
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Enhancing concealed object detection in active THz security images with adaptation-YOLO by Aiguo Cheng, Shiyou Wu, Xiaodong Liu, Hangyu Lu

“…However, current object detection algorithms face many challenges when applied to THz images. …”
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Artificial Intelligence in Robotic Manipulators: Exploring Object Detection and Grasping Innovations by Montassar Aidi Sharif, Hanan Hameed Ismael, Muamar Almani Jasim, Farah Zuhair Jasim

“…By integrating the iterations of the You Only Look Once (YOLO) algorithm with deep learning models, our study not only advances the innovations in robotic perception but also significantly improves the accuracy of robotic grasping in dynamic environments. …”
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Reach&Grasp: a multimodal dataset of the whole upper-limb during simple and complex movements by Dario Di Domenico, Inna Forsiuk, Simon Müller-Cleve, Simone Tanzarella, Florencia Garro, Andrea Marinelli, Michele Canepa, Matteo Laffranchi, Michela Chiappalone, Chiara Bartolozzi, Lorenzo De Michieli, Nicolò Boccardo, Marianna Semprini

“…It can be used to investigate upper-limb movements in physiological conditions, and to test sensor fusion approaches and control algorithms for prosthetics and robotic applications.…”
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Load Balancing for Integrated Access and Backhaul in mmWave Small Cells by Quang-Huy Tran, Tho-Minh Duong, Sungoh Kwon

“…In this paper, we propose a load-balancing algorithm for small-cell integrated access and backhaul (IAB) networks operating in the millimeter wave (mmWave) band. …”
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Screening of multi deep learning-based de novo molecular generation models and their application for specific target molecular generation by Yishu Wang, Mengyao Guo, Xiaomin Chen, Dongmei Ai

“…With the development of deep learning techniques for the de novo generation of molecules, also known as inverse molecular design, the increasingly widespread application of various types of deep learning algorithms has led to revolutionary changes in de novo molecular generation research. …”
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Estimating the Torsional Capacity of Reinforced Concrete Beams Using ANFIS Models by Zhao Wenwu, Zeng Shaowu, Gong Guilin, Li Qiangqiang, Li Kexing

“…The objective of the present work is to provide innovative hybrid models that combine the concepts of the Adaptive neuro fuzzy inference systems (𝐴𝑁𝐹𝐼𝑆) model with other optimization approaches, such as the Giant trevally algorithm (𝐺𝑇𝐴) and Honey badger algorithm (𝐻𝐵𝐴), to accurately forecast the 𝑇𝑟. …”
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Photodiagnosis and photodynamic recognition of cervical cancer with SEM and AFM images. by Sevcan Aytaç, Gürkan Özbey

“…The classification rate found by the averages of the results obtained from the DWTF_JSD, DWTF_HD and DWTF_TD algorithms for AFM and SEM cervix images are 98.29% and 97.10%, respectively. …”
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HuBot: A biomimicking mobile robot for non-disruptive bird behavior study by Lyes Saad Saoud, Loïc Lesobre, Enrico Sorato, Saud Al Qaydi, Yves Hingrat, Lakmal Seneviratne, Irfan Hussain

“…By employing advanced real-time deep-learning algorithms, including YOLOv9 for detection, MobileSAM for segmentation, and vision transformer (ViT) for depth estimation, HuBot semi-autonomously tracks individual birds, providing unprecedented insights into their individual behavior, social interactions, and habitat use. …”
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Knowledge Graph Entity Similarity Calculation under Active Learning by Lianhuan Li, Zheng Zhang, Shaoda Zhang

“…Our experimental results on real datasets show that the entity alignment algorithm proposed in this paper has a great improvement in accuracy compared with the previous mainstream alignment algorithms. …”
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A Decision-Making Method for Ship Collision Avoidance Based on Improved Cultural Particle Swarm by Yisong Zheng, Xiuguo Zhang, Zijing Shang, Siyu Guo, Yiquan Du

“…Compared with other evolutionary algorithms, the improved cultural particle swarm optimization algorithm has better global convergence. …”
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Resolving Covid-19 with Blockchain and AI by Suyogita Singh, Satya Bhushan Verma

“…In that review, many potential blockchain applications were discovered; however, the majority of them were still in their infancy, and it couldn’t yet be predicted how they could contribute to the fight against COVID-19 through the use of platforms, access kinds, and consensus algorithms. Modern innovations such as blockchain and artificial intelligence (AI) were shown to be promising in limiting the spread of a virus. …”
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Hypergraph-based resource allocation for Device-to-Device underlay H-CRAN network by Pan Zhao, Wenlei Guo, Datong Xu, Zhiliang Jiang, Jie Chai, Lijun Sun, He Li, Weiliang Han

“…Finally, the simulation results show that the proposed scheme improves the throughput performance at least 6% over other algorithms.…”
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Sorting Data via a Look-Up-Table Neural Network and Self-Regulating Index by Ying Zhao, Dongli Hu, Dongxia Huang, You Liu, Zitong Yang, Lei Mao, Chao Liu, Fangfang Zhou

“…Learned sorting pioneers a new generation of sorting algorithms and shows a great potential because of a theoretical time complexity ON and easy access to hardware-driven accelerating approaches. …”
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Research on Mental Health Monitoring Scheme of Migrant Children Based on Convolutional Neural Network Based on Deep Learning by Guangyan Yang

“…This paper uses the training set to train five common classification algorithms, evaluates them through the validation set, and selects the best classifier as our algorithm and uses it to identify students with mental health problems in the test set. …”
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A Denoising Based Autoassociative Model for Robust Sensor Monitoring in Nuclear Power Plants by Ahmad Shaheryar, Xu-Cheng Yin, Hong-Wei Hao, Hazrat Ali, Khalid Iqbal

“…Apart from these regularization heuristics, traditional error gradient based supervised learning algorithms for multilayered AANN models are highly susceptible of being trapped in local optimum. …”
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