arXiv Computer Science @arxiv_cs@qoto.org

Automating the Enterprise with Foundation Models https://arxiv.org/abs/2405.03710 #cs.SE #cs.AI #cs.LG

Guidance Design for Escape Flight Vehicle Using Evolution Strategy Enhanced Deep Reinforcement Learning https://arxiv.org/abs/2405.03711 #eess.SY #cs.LG #cs.AI #cs.NE #cs.SY

Your Network May Need to Be Rewritten: Network Adversarial Based on High-Dimensional Function Graph Decomposition https://arxiv.org/abs/2405.03712 #cs.LG #cs.AI #cs.NE

Prospective Role of Foundation Models in Advancing Autonomous Vehicles https://arxiv.org/abs/2405.02288 #cs.CV #cs.AI #cs.RO

TSDiT: Traffic Scene Diffusion Models With Transformers https://arxiv.org/abs/2405.02289 #cs.RO

Wheel Odometry-Based Localization for Autonomous Wheelchair https://arxiv.org/abs/2405.02290 #cs.RO

Bundling and Tumbling in Bacterial-inspired Bi-flagellated Soft Robots for Attitude Adjustment https://arxiv.org/abs/2405.02291 #cs.RO

ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation https://arxiv.org/abs/2405.02292 #cs.RO #cs.LG

Modified OSD Algorithm with Reduced Gaussian Elimination https://arxiv.org/abs/2405.02293 #math.IT #cs.IT

Neural Additive Image Model: Interpretation through Interpolation https://arxiv.org/abs/2405.02295 #cs.CV #cs.LG

M\"obius Transform for Mitigating Perspective Distortions in Representation Learning https://arxiv.org/abs/2405.02296 #cs.CV

Employing Universal Voting Schemes for Improved Visual Place Recognition Performance https://arxiv.org/abs/2405.02297 #cs.CV

Development and Validation of an Artificial Neural Network for the Recognition of Custom Dataset with YOLOv4 https://arxiv.org/abs/2405.02298 #cs.CE

Universal Imitation Games https://arxiv.org/abs/2405.01540 #cs.AI #cs.LG

Transforming Software Development with Generative AI: Empirical Insights on Collaboration and Workflow https://arxiv.org/abs/2405.01543 #cs.SE

Transformational Outsourcing in IT Project Management https://arxiv.org/abs/2405.01544 #cs.SE

Analysing software failure using runtime verification and LTL https://arxiv.org/abs/2405.01545 #cs.SE

It Will Never Work in Theory https://arxiv.org/abs/2405.01546 #cs.SE

Exploring Conceptual Modeling Metaphysics: Existence Containers, Leibniz's Monads and Avicenna's Essence https://arxiv.org/abs/2405.01549 #cs.SE

Empirical Studies of Parameter Efficient Methods for Large Language Models of Code and Knowledge Transfer to R https://arxiv.org/abs/2405.01553 #cs.SE #cs.AI