Facilitating laboratory automation using a robot with a simple and inexpensive camera detection system by Rebecca Wienbruch, Nicole Rupp, Ruven Dreischke, Verena Mayer, Isabell Fenske, Rebecca Bauer, Thole Zuchner

“…The first application creates a 3D digital model of the robot’s environment using ArUco markers and a Python-based Open Computer Vision (OpenCV) simulated stereo vision setup, enabling automated computer-aided design (CAD) in FreeCAD. …”
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New Spectral Range Generations from Laser-plasma Interaction by Shaimaa S. Mahdi, Kadhim A. Aadim, Madyan A. Khalaf

“…In this demonstration, a new spectral range was observed in the resulted spectra from the laser-plasma interaction, which opens up new discussions for new light source generation. …”
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Efficient adaptation of deep neural networks for semantic segmentation in space applications by Leonardo Olivi, Edoardo Santero Mormile, Enzo Tartaglione

“…Finally, we evaluate these results in terms of task performance, memory, and computation on embedded devices, evidencing trade-offs that open the road to more research in the field. …”
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Combining whole genome sequencing and non-adaptive group testing for large-scale ethnicity screens by Elior Avraham, Noam Shental

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Research on Network Information Security Risk Analysis and Protection Strategy of LKJ Monitoring and Management Device by XIAO Lizhi, TANG Zilin, YANG Yibin

“…With the advent of the information age, openness and internet nature of network are increasing enhanced. …”
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T-LLaMA: a Tibetan large language model based on LLaMA2 by Hui Lv, Chi Pu, La Duo, Yan Li, Qingguo Zhou, Jun Shen

“…To our knowledge, T-LLaMA stands as the first large-scale language model in Tibetan natural language processing (NLP) with parameters in the billion range. We openly provide our trained models, anticipating that this contribution not only fills gaps in the Tibetan large-scale language model domain but also serves as foundational models for researchers with limited computational resources in the Tibetan NLP community. …”
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Monitoring Collaborative Interactions in Online Learning: Insights from Moodle Log Records by Anuradha Peramunugamage, Uditha Ratnayake, Shironica Karunanayaka, Ellen Francine, William Simão de Deus, Chulantha Jayawardena, Jayamali De Silva

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Modeling PROTAC degradation activity with machine learning by Stefano Ribes, Eva Nittinger, Christian Tyrchan, Rocío Mercado

“…Our results are not only comparable to state-of-the-art models for protein degradation prediction, but also part of an open-source implementation which is easily reproducible and less computationally complex than existing approaches.…”
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Corrigendum to “Modeling PROTAC degradation activity with machine learning” [Artif. Intell. Life Sci. 6 (2024) 100104] by Stefano Ribes, Eva Nittinger, Christian Tyrchan, Rocío Mercado

“…Our results are not only comparable to state-of-the-art models for protein degradation prediction, but also part of an open-source implementation which is easily reproducible and less computationally complex than existing approaches.…”
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LoD2 Building Reconstruction from Stereo Satellite Imagery using Deep Learning and Model-Driven Approach by Rojgar Qarani Ismael, Haval Sadeq

“… This study presents a Level of Detail 2 building reconstruction approach for open and occluded areas from stereo-satellite imagery. …”
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Interference Assembly and Fretting Wear Analysis of Hollow Shaft by Chuanjun Han, Jie Zhang

“…The finite element model of hollow shaft and shaft sleeve was established, and the equivalent stress and contact stress were computed after interference assembly. The assembly body of hollow shaft and shaft sleeve was in whirling bending load, and the contact status (sticking, sliding, and opening) and the distribution of stress along one typical contact line were computed under different loads, interferences, hollow degrees, friction coefficient, and wear quantity. …”
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Transformer-Based Multi-Player Tracking and Skill Recognition Framework for Volleyball Analytics by Lei Jiang, Zhihong Yang, Lei Gang

“…The integration of advanced computing technologies has opened new avenues in sports analytics, enabling data-driven methods for performance monitoring and strategy development. …”
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On the Modeling of Sequential Reactive Systems by Means of Real Time Automata by Evgeney Maximovich Vinarskii, Vladimir Anatolyevich Zakharov

“…The behavior of some reactive systems is determined not only by the sequence of values of input signals, but also by the time of their arrival at the inputs of the system and the delays in computing the output signals. These aspects of reactive system computations are taken into account by real-time models of computation which include, in particular, realtime finite state machines (TFSMs). …”
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On the topology of solutions to random continuous constraint satisfaction problems by Jaron Kent-Dobias

“…We conjecture that the transition energy dividing two of the topological phases corresponds to the energy asymptotically reached by gradient descent from a random initial condition, possibly resolving an open problem in out-of-equilibrium dynamics. However, the quality of the available data leaves the question open for now.…”
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Sign-Entropy Regularization for Personalized Federated Learning by Koffka Khan

“…We formally define a differentiable sign-entropy objective over the gradient sign distribution and integrate it into standard federated optimization frameworks, including FedAvg and FedProx. The regularizer is computed efficiently and applied post hoc per local round. …”
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Enhanced classification of tinnitus patients using EEG microstates and deep learning techniques by Zahra Raeisi, Abolfazl Sodagartojgi, Fahimeh Sharafkhani, Amirsadegh Roshanzamir, Hossein Najafzadeh, Omid Bashiri, Alireza Golkarieh

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Evaluating Assistive Technology Outcomes in Boccia Athletes with Disabilities Using AI-Based Kinematic Analysis by Wann-Yun Shieh, Yan-Ying Ju, Shiu-Yuan Yang, I-Chun Chen, Hsin-Yi Kathy Cheng

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Survey on coherent multiband splicing techniques for wideband channel characterization by Sigrid Dimce, Falko Dressler

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Numerical simulation of the flow rate effect on the evolution of a negatively buoyant water jet by Oumaima Eleuch, Noureddine Latrache, Sobhi Frikha, Abderrahmane Khechekhouche, Zied Driss

“…A finite volume discretization method using Open Source code given in Open Foam 2.3.0. was used to solve these equations. …”
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Full Downwind Turbine Simulations Using Actuator Line Method by A. Matiz-Chicacausa, Omar D. Lopez

“…The case study used is the Unsteady Aerodynamics Experiment (UAE) Phase VI turbine to analyze its suitability in capturing the tower shadow effect. Computational Fluid Dynamics (CFD) simulations were carried out using the open-source code OpenFOAM and the class of horizontal wind turbine AL from the toolbox SOWFA developed by the National Renewable Energy Laboratory (NREL). …”
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