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🔍 j.d. franson 📂 Computer Science
Showing 138 results for "j.d. franson" in Computer Science
Computer Science Preprint PDF DOI

"We are currently clean on OPSEC": Why JD Can't Encrypt

Maurice Chiodo, Toni Erskine, Dennis Muller, James G. Wright · 2026

We analyse the 2025 Signalgate leak of sensitive US military information by the Trump administration, addressing why confidentiality was violated (messages leaked to the press) in spite of encryption …

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Computer Science Preprint PDF DOI

JD-BP: A Joint-Decision Generative Framework for Auto-Bidding and Pricing

Linghui Meng, Chun Gan, Shengsheng Niu, Chengcheng Zhang, Chenchen Li, Chuan Yang, Yi Mao, Xin Zhu, Jie He, Zhangang Lin, Ching Law · 2026

Auto-bidding services optimize real-time bidding strategies for advertisers under key performance indicator (KPI) constraints such as target return on investment and budget. However, uncertainties suc…

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Computer Science Preprint PDF DOI

TPIFM: A Task-Aware Model for Evaluating Perceptual Interaction Fluency in Remote AR Collaboration

Jiarun Song, Ninghao Wan, Fuzheng Yang, Weisi Lin · 2026

Remote Collaborative Augmented Reality (RCAR) enables geographically distributed users to collaborate by integrating virtual and physical environments. However, because RCAR relies on real-time transm…

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Computer Science Preprint PDF DOI

The Ghost in the Datacenter: Link Flapping, Topology Knowledge Failures, and the FITO Category Mistake

Paul Borrill · 2026

Every link disconnection or flap in a datacenter corrupts the network's self-knowledge -- its graph. We call this corruption a ghost: a node that appears reachable but is not, a link that reports "up"…

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Computer Science Preprint PDF DOI

Transforming Video Subjective Testing with Training, Engagement, and Real-Time Feedback

Kumar Rahul, Sriram Sethuraman, Andrew Segall, Yixu Chen · 2026

Subjective video quality assessment is crucial for optimizing streaming and compression, yet traditional protocols face limitations in capturing nuanced perceptual differences and ensuring reliable us…

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Computer Science Preprint PDF DOI

DuoTeach: Dual Role Self-Teaching for Coarse-to-Fine Decision Coordination in Vision--Language Models

Wei Yang, Yiran Zhu, Zilin Li, Xunjia Zhang, Jun Xia, Hongtao Wang · 2025

Coarse-to-fine path decision-making requires predicting a valid taxonomy path in which earlier decisions constrain later ones. However, existing benchmarks score each level independently, obscuring cr…

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Computer Science Preprint PDF DOI

Predicting Encoding Energy from Low-Pass Anchors for Green Video Streaming

Zoha Azimi, Reza Farahani, Vignesh V Menon, Christian Timmerer · 2025

Video streaming now represents the dominant share of Internet traffic, as ever-higher-resolution content is distributed across a growing range of heterogeneous devices to sustain user Quality of Exper…

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Computer Science Preprint PDF DOI

Beam Squint Assisted Joint Angle-Distance Localization for Near-Field Communications

Aibiao Zhang, Weizheng Zhang, Chiya Zhang · 2025

With the advent of extremely large-scale MIMO (XL-MIMO), mmWave/THz bands and ultra-wideband transmission, future 6G systems demand real-time positioning with centimeter or even millimeter level accur…

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Computer Science Preprint PDF DOI

Evaluation of Objective Image Quality Metrics for High-Fidelity Image Compression

Shima Mohammadi, Mohsen Jenadeleh, Jon Sneyers, Dietmar Saupe, Joao Ascenso · 2025

Nowadays, image compression solutions are increasingly designed to operate within high-fidelity quality ranges, where preserving even the most subtle details of the original image is essential. In thi…

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Computer Science Preprint PDF DOI

Do Students Learn Better Together? Teaching Design Patterns and the OSI Model with the Aronson Method

Daniel San Martin, Carlos Manzano, Valter Vieira de Camargo · 2025

Abstract concepts like software design patterns and the OSI model often pose challenges for engineering students, and traditional methods may fall short in promoting deep understanding and individual …

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Computer Science Preprint PDF DOI

Bayesian Learning for Pilot Decontamination in Cell-Free Massive MIMO

Christian Forsch, Zilu Zhao, Dirk Slock, Laura Cottatellucci · 2025

Pilot contamination (PC) arises when the pilot sequences assigned to user equipments (UEs) are not mutually orthogonal, eventually due to their reuse. In this work, we propose a novel expectation prop…

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Computer Science Preprint PDF DOI

Two tales for a geometric Jensen--Shannon divergence

Frank Nielsen · 2025

The geometric Jensen--Shannon divergence (G-JSD) gained popularity in machine learning and information sciences thanks to its closed-form expression between Gaussian distributions. In this work, we in…

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Computer Science Preprint PDF DOI

PC-JND: Subjective Study and Dataset on Just Noticeable Difference for Point Clouds in 6DoF Virtual Reality

Chunling Fan, Yun Zhang, Dietmar Saupe, Raouf Hamzaoui, Weisi Lin · 2025

The Just Noticeable Difference (JND) accounts for the minimum distortion at which humans can perceive a difference between a pristine stimulus and its distorted version. The JND concept has been widel…

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Computer Science Preprint PDF DOI

TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems

Jiahao Yu, Haozhuang Liu, Yeqiu Yang, Lu Chen, Jian Wu, Yuning Jiang, Bo Zheng · 2025

Regression models are crucial in recommender systems. However, retransformation bias problem has been conspicuously neglected within the community. While many works in other fields have devised effect…

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Computer Science Preprint PDF DOI

On the number of minimal and next-to-minimal weight codewords of toric codes over hypersimplices

Cicero Carvalho, Nupur Patanker · 2025

Toric codes are a type of evaluation code introduced by J.P. Hansen in 2000. They are produced by evaluating (a vector space composed by) polynomials at the points of $(\mathbb{F}_q^*)^s$, the monomia…

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Computer Science Preprint PDF DOI

Next-to-minimal weight of toric codes defined over hypersimplices

Cicero Carvalho, Nupur Patanker · 2025

Toric codes are a type of evaluation codes introduced by J.P. Hansen in 2000. They are produced by evaluating (a vector space composed by) polynomials at the points of $(\mathbb{F}_q^*)^s$, the monomi…

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Computer Science Preprint PDF DOI

Joint Detection and Decoding: A Graph Neural Network Approach

Jannis Clausius, Marvin Rubenacke, Daniel Tandler, Stephan ten Brink · 2025

Narrowing the performance gap between optimal and feasible detection in inter-symbol interference (ISI) channels, this paper proposes to use graph neural networks (GNNs) for detection that can also be…

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Computer Science Preprint PDF DOI

Bounds for Joint Detection and Decoding on the Binary-Input AWGN Channel

Simon Obermuller, Jannis Clausius, Marvin Geiselhart, Stephan ten Brink · 2024

For asynchronous transmission of short blocks, preambles for packet detection contribute a non-negligible overhead. To reduce the required preamble length, joint detection and decoding (JDD) technique…

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Computer Science Preprint PDF DOI

Neural Network Equalizers and Successive Interference Cancellation for Bandlimited Channels with a Nonlinearity

Daniel Plabst, Tobias Prinz, Francesca Diedolo, Thomas Wiegart, Georg Bocherer, Norbert Hanik, Gerhard Kramer · 2024

Neural networks (NNs) inspired by the forward-backward algorithm (FBA) are used as equalizers for bandlimited channels with a memoryless nonlinearity. The NN-equalizers are combined with successive in…

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Computer Science Preprint PDF DOI

FG-SAT: Efficient Flow Graph for Encrypted Traffic Classification under Environment Shifts

Susu Cui, Xueying Han, Dongqi Han, Zhiliang Wang, Weihang Wang, Yun Li, Bo Jiang, Baoxu Liu, Zhigang Lu · 2024

Encrypted traffic classification plays a critical role in network security and management. Currently, mining deep patterns from side-channel contents and plaintext fields through neural networks is a …

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