Tootfinder

Opt-in global Mastodon full text search. Join the index!

@arXiv_csIR_bot@mastoxiv.page
2024-06-18 09:22:58

This arxiv.org/abs/2406.09320 has been replaced.
initial toot: mastoxiv.page/@arXiv_csIR_…

@arXiv_eessIV_bot@mastoxiv.page
2024-04-18 06:54:01

Remote Breathing Monitoring Using LiDAR Technology
Omar Rinchi, Ahmad Alsharoa, Denise A. Baker
arxiv.org/abs/2404.10970

@arXiv_csCY_bot@mastoxiv.page
2024-06-17 06:50:19

You are what you eat? Feeding foundation models a regionally diverse food dataset of World Wide Dishes
Jabez Magomere, Shu Ishida, Tejumade Afonja, Aya Salama, Daniel Kochin, Foutse Yuehgoh, Imane Hamzaoui, Raesetje Sefala, Aisha Alaagib, Elizaveta Semenova, Lauren Crais, Siobhan Mackenzie Hall
arxiv.org/abs/2406.09496 arxiv.org/pdf/2406.09496
arXiv:2406.09496v1 Announce Type: new
Abstract: Foundation models are increasingly ubiquitous in our daily lives, used in everyday tasks such as text-image searches, interactions with chatbots, and content generation. As use increases, so does concern over the disparities in performance and fairness of these models for different people in different parts of the world. To assess these growing regional disparities, we present World Wide Dishes, a mixed text and image dataset consisting of 765 dishes, with dish names collected in 131 local languages. World Wide Dishes has been collected purely through human contribution and decentralised means, by creating a website widely distributed through social networks. Using the dataset, we demonstrate a novel means of operationalising capability and representational biases in foundation models such as language models and text-to-image generative models. We enrich these studies with a pilot community review to understand, from a first-person perspective, how these models generate images for people in five African countries and the United States.
We find that these models generally do not produce quality text and image outputs of dishes specific to different regions. This is true even for the US, which is typically considered to be more well-resourced in training data - though the generation of US dishes does outperform that of the investigated African countries. The models demonstrate a propensity to produce outputs that are inaccurate as well as culturally misrepresentative, flattening, and insensitive. These failures in capability and representational bias have the potential to further reinforce stereotypes and disproportionately contribute to erasure based on region. The dataset and code are available at github.com/oxai/world-wide-dis.

@arXiv_csIR_bot@mastoxiv.page
2024-04-18 08:34:28

This arxiv.org/abs/2307.02046 has been replaced.
link: scholar.google.com/scholar?q=a

@arXiv_csCL_bot@mastoxiv.page
2024-06-13 09:34:44

This arxiv.org/abs/2405.20267 has been replaced.
initial toot: mastoxiv.page/@arXiv_csCL_…

@arXiv_qbioNC_bot@mastoxiv.page
2024-06-17 07:08:22

Hyperbolic embedding of brain networks as a tool for epileptic seizures forecasting
Martin Guillemaud, Louis Cousyn, Vincent Navarro, Mario Chavez
arxiv.org/abs/2406.10184

@arXiv_csCY_bot@mastoxiv.page
2024-06-17 06:50:19

You are what you eat? Feeding foundation models a regionally diverse food dataset of World Wide Dishes
Jabez Magomere, Shu Ishida, Tejumade Afonja, Aya Salama, Daniel Kochin, Foutse Yuehgoh, Imane Hamzaoui, Raesetje Sefala, Aisha Alaagib, Elizaveta Semenova, Lauren Crais, Siobhan Mackenzie Hall
arxiv.org/abs/2406.09496 arxiv.org/pdf/2406.09496
arXiv:2406.09496v1 Announce Type: new
Abstract: Foundation models are increasingly ubiquitous in our daily lives, used in everyday tasks such as text-image searches, interactions with chatbots, and content generation. As use increases, so does concern over the disparities in performance and fairness of these models for different people in different parts of the world. To assess these growing regional disparities, we present World Wide Dishes, a mixed text and image dataset consisting of 765 dishes, with dish names collected in 131 local languages. World Wide Dishes has been collected purely through human contribution and decentralised means, by creating a website widely distributed through social networks. Using the dataset, we demonstrate a novel means of operationalising capability and representational biases in foundation models such as language models and text-to-image generative models. We enrich these studies with a pilot community review to understand, from a first-person perspective, how these models generate images for people in five African countries and the United States.
We find that these models generally do not produce quality text and image outputs of dishes specific to different regions. This is true even for the US, which is typically considered to be more well-resourced in training data - though the generation of US dishes does outperform that of the investigated African countries. The models demonstrate a propensity to produce outputs that are inaccurate as well as culturally misrepresentative, flattening, and insensitive. These failures in capability and representational bias have the potential to further reinforce stereotypes and disproportionately contribute to erasure based on region. The dataset and code are available at github.com/oxai/world-wide-dis.

@wmclark@publishing.social
2024-05-15 13:44:48

"Here was the best example in the world — in Canada, my own land — of someone who seemed to abide by classical artistic values in her choices as a person and in her choices on the page. I felt quietly reassured knowing that a hundred kilometers down the road was Alice Munro."

@arXiv_csHC_bot@mastoxiv.page
2024-05-14 07:16:31

G-VOILA: Gaze-Facilitated Information Querying in Daily Scenarios
Zeyu Wang, Yuanchun Shi, Yuntao Wang, Yuchen Yao, Kun Yan, Yuhan Wang, Lei Ji, Xuhai Xu, Chun Yu
arxiv.org/abs/2405.07652

@arXiv_csCV_bot@mastoxiv.page
2024-05-10 08:30:00

This arxiv.org/abs/2405.03690 has been replaced.
initial toot: mastoxiv.page/@arXiv_csCV_…

@arXiv_csRO_bot@mastoxiv.page
2024-06-11 09:08:58

This arxiv.org/abs/2404.13027 has been replaced.
initial toot: mastoxiv.page/@arXiv_csRO_…

@memeorandum@universeodon.com
2024-05-08 21:10:51

Squad Rep's YouTube Page Is a Conspiracy Theorist's Dream (William Bredderman/The Daily Beast)
thedailybeast.com/squad-rep-ja
memeorandum.com/240508/p54#a24

@arXiv_csCL_bot@mastoxiv.page
2024-06-13 09:34:44

This arxiv.org/abs/2405.20267 has been replaced.
initial toot: mastoxiv.page/@arXiv_csCL_…

@arXiv_hepph_bot@mastoxiv.page
2024-06-11 09:19:29

This arxiv.org/abs/2312.08478 has been replaced.
initial toot: mastoxiv.page/@arXiv_hepp…

@jimcarroll@futurist.info
2024-05-03 10:17:54

Daily Inspiration: "Your attitude should get you everything!” - Futurist Jim Carroll
The business of recruitment is broken.
In the last many years, much of it has moved to a world of automated resume processing, analytical examination of talent and skills, and the dominance of cold, hard statistical analysis. Many companies simply demand a cover letter and a LinkedIn page. Quality candidates often never make their way through the assembly-line methodology of calculated infer…

@arXiv_condmatstatmech_bot@mastoxiv.page
2024-06-11 09:19:26

This arxiv.org/abs/2405.03006 has been replaced.
initial toot: mastoxiv.page/@…

@arXiv_csHC_bot@mastoxiv.page
2024-06-12 06:50:10

PITCH: Productivity and Mental Well-being Coaching through Daily Conversational Interaction
Adnan Abbas, Sang Won Lee
arxiv.org/abs/2406.07485

@memeorandum@universeodon.com
2024-05-08 21:10:51

Squad Rep's YouTube Page Is a Conspiracy Theorist's Dream (William Bredderman/The Daily Beast)
thedailybeast.com/squad-rep-ja
memeorandum.com/240508/p54#a24

@arXiv_csCL_bot@mastoxiv.page
2024-06-14 06:49:40

DefAn: Definitive Answer Dataset for LLMs Hallucination Evaluation
A B M Ashikur Rahman, Saeed Anwar, Muhammad Usman, Ajmal Mian
arxiv.org/abs/2406.09155

@arXiv_mathOC_bot@mastoxiv.page
2024-06-05 08:53:55

This arxiv.org/abs/2405.15975 has been replaced.
initial toot: mastoxiv.page/@arXiv_mat…

@arXiv_physicsaoph_bot@mastoxiv.page
2024-05-08 08:46:43

This arxiv.org/abs/2309.06833 has been replaced.
initial toot: mastoxiv.page/@arXi…

@arXiv_econEM_bot@mastoxiv.page
2024-06-12 07:35:01

Cluster GARCH
Chen Tong, Peter Reinhard Hansen, Ilya Archakov
arxiv.org/abs/2406.06860 arxiv.org/pdf/2406.06860

@arXiv_csAR_bot@mastoxiv.page
2024-06-06 06:46:42

Llumnix: Dynamic Scheduling for Large Language Model Serving
Biao Sun, Ziming Huang, Hanyu Zhao, Wencong Xiao, Xinyi Zhang, Yong Li, Wei Lin
arxiv.org/abs/2406.03243

@arXiv_csSI_bot@mastoxiv.page
2024-05-08 06:53:07

Characterizing Regional Importance in Cities with Human Mobility Motifs in Metro Networks
Shuyang Shi, Ding Lyu, Lin Wang, Xiaofan Wang, Guanrong Chen
arxiv.org/abs/2405.04066

@arXiv_mathGT_bot@mastoxiv.page
2024-06-06 07:19:04

Evolutionary Khovanov homology
Li Shen, Jian Liu, Guo-Wei Wei
arxiv.org/abs/2406.02821 arxiv.org/pdf/2406.02821

@jimcarroll@futurist.info
2024-05-01 11:35:21

Daily Inspiration: "Never have just one comfort zone!" - Futurist Jim Carroll
If public speaking ranks high on the fear list of many people, where does working on a film production rank?
Yesterday was a wildly exciting day down in San Jose as I moderated a panel discussion on - what else! - artificial intelligence on an HP production in partnership with Intel.
This wasn't my first video rodeo; indeed, as I described over on the page Custom Corporate Projects, …

@arXiv_csCL_bot@mastoxiv.page
2024-06-14 06:49:00

Modeling Comparative Logical Relation with Contrastive Learning for Text Generation
Yuhao Dan, Junfeng Tian, Jie Zhou, Ming Yan, Ji Zhang, Qin Chen, Liang He
arxiv.org/abs/2406.09095

@arXiv_csSE_bot@mastoxiv.page
2024-05-01 06:52:55

Enhancing GUI Exploration Coverage of Android Apps with Deep Link-Integrated Monkey
Han Hu, Han Wang, Ruiqi Dong, Xiao Chen, Chunyang Chen
arxiv.org/abs/2404.19307

@arXiv_csIR_bot@mastoxiv.page
2024-06-14 06:51:38

Khmer Semantic Search Engine: Digital Information Access and Document Retrieval
Nimol Thuon
arxiv.org/abs/2406.09320

@arXiv_csNI_bot@mastoxiv.page
2024-06-06 06:51:31

Hurry: Dynamic Collaborative Framework For Low-orbit Mega-Constellation Data Downloading
Handong Luo, Wenhao Liu, Qi Zhang, Ziheng Yang, Quanwei Lin, Wenjun Zhu, Kun Qiu, Zhe Chen, Yue Gao
arxiv.org/abs/2406.03159

@arXiv_physicssocph_bot@mastoxiv.page
2024-05-08 07:07:15

QxEAI -- Automated probabilistic forecasting with Quantum-like evolutionary algorithm
Kevin Xin, Lizhi Xin
arxiv.org/abs/2405.03701

@arXiv_csCR_bot@mastoxiv.page
2024-05-01 07:28:37

Enhancing IoT Security: A Novel Feature Engineering Approach for ML-Based Intrusion Detection Systems
Afsaneh Mahanipour, Hana Khamfroush
arxiv.org/abs/2404.19114 arxiv.org/pdf/2404.19114
arXiv:2404.19114v1 Announce Type: new
Abstract: The integration of Internet of Things (IoT) applications in our daily lives has led to a surge in data traffic, posing significant security challenges. IoT applications using cloud and edge computing are at higher risk of cyberattacks because of the expanded attack surface from distributed edge and cloud services, the vulnerability of IoT devices, and challenges in managing security across interconnected systems leading to oversights. This led to the rise of ML-based solutions for intrusion detection systems (IDSs), which have proven effective in enhancing network security and defending against diverse threats. However, ML-based IDS in IoT systems encounters challenges, particularly from noisy, redundant, and irrelevant features in varied IoT datasets, potentially impacting its performance. Therefore, reducing such features becomes crucial to enhance system performance and minimize computational costs. This paper focuses on improving the effectiveness of ML-based IDS at the edge level by introducing a novel method to find a balanced trade-off between cost and accuracy through the creation of informative features in a two-tier edge-user IoT environment. A hybrid Binary Quantum-inspired Artificial Bee Colony and Genetic Programming algorithm is utilized for this purpose. Three IoT intrusion detection datasets, namely NSL-KDD, UNSW-NB15, and BoT-IoT, are used for the evaluation of the proposed approach.

@arXiv_csRO_bot@mastoxiv.page
2024-05-03 08:48:30

This arxiv.org/abs/2403.15813 has been replaced.
initial toot: mastoxiv.page/@arXiv_csRO_…

@arXiv_physicsedph_bot@mastoxiv.page
2024-05-10 07:22:08

Spin(ing) into the classroom: Quantum spin activities for Year 6-10 physics
Kyla Adams, Anastasia Lonshakova, David Blair, David Treagust, Tejinder Kaur
arxiv.org/abs/2405.05528

@arXiv_csET_bot@mastoxiv.page
2024-05-03 08:44:50

This arxiv.org/abs/2404.16895 has been replaced.
initial toot: mastoxiv.page/@arXiv_csET_…

@arXiv_physicsmedph_bot@mastoxiv.page
2024-06-12 09:04:19

This arxiv.org/abs/2403.08447 has been replaced.
link: scholar.google.com/scholar?q=a

@arXiv_eessIV_bot@mastoxiv.page
2024-06-05 08:46:44

This arxiv.org/abs/2401.15613 has been replaced.
initial toot: mastoxiv.page/@arXiv_ees…

Red Lobster was killed by private equity, not Endless Shrimp
A decade ago, a hedge fund had an improbable viral comedy hit: a 294-page slide deck explaining why Olive Garden was going out of business,
blaming the failure on too many breadsticks and insufficiently salted pasta-water!
But – as David Dayen wrote at the time – the hedge fund that produced that slide deck, #StarboardValue

@arXiv_csHC_bot@mastoxiv.page
2024-06-11 06:50:15

Wearable Healthcare Devices for Monitoring Stress and Attention Level in Workplace Environments
Peter Traunmuller, Anice Jahanjoo, Soheil Khooyooz, Amin Aminifar, Nima TaheriNejad
arxiv.org/abs/2406.05813

@arXiv_csSD_bot@mastoxiv.page
2024-05-01 06:59:32

CONTUNER: Singing Voice Beautifying with Pitch and Expressiveness Condition
Jianzong Wang, Pengcheng Li, Xulong Zhang, Ning Cheng, Jing Xiao
arxiv.org/abs/2404.19187

@arXiv_econGN_bot@mastoxiv.page
2024-06-06 06:53:02

Production planning in 3DPrinting factories
Juan De Anton, Juan J Senovilla, Jose M Gonzalez-Varona, Fernando Acebes
arxiv.org/abs/2406.02588

@arXiv_csCY_bot@mastoxiv.page
2024-05-09 07:27:58

Physics-based deep learning reveals rising heating demand heightens air pollution in Norwegian cities
Cong Cao, Ramit Debnath, R. Michael Alvarez
arxiv.org/abs/2405.04716

@arXiv_csIR_bot@mastoxiv.page
2024-06-12 06:51:42

TIM: Temporal Interaction Model in Notification System
Huxiao Ji, Haitao Yang, Linchuan Li, Shunyu Zhang, Cunyi Zhang, Xuanping Li, Wenwu Ou
arxiv.org/abs/2406.07067

@arXiv_mathOC_bot@mastoxiv.page
2024-04-30 08:42:48

This arxiv.org/abs/2303.07695 has been replaced.
initial toot: mastoxiv.page/@arXiv_mat…

@arXiv_csRO_bot@mastoxiv.page
2024-05-06 06:52:22

Millimeter Wave Radar-based Human Activity Recognition for Healthcare Monitoring Robot
Zhanzhong Gu, Xiangjian He, Gengfa Fang, Chengpei Xu, Feng Xia, Wenjing Jia
arxiv.org/abs/2405.01882

@arXiv_eessIV_bot@mastoxiv.page
2024-06-05 08:46:44

This arxiv.org/abs/2401.15613 has been replaced.
initial toot: mastoxiv.page/@arXiv_ees…

@arXiv_csHC_bot@mastoxiv.page
2024-06-10 07:27:14

Mind Mansion: Exploring Metaphorical Interactions to Engage with Negative Thoughts in Virtual Reality
Julian Rasch, Michelle Johanna Zender, Sophia Sakel, Nadine Wagener
arxiv.org/abs/2406.04871

@arXiv_csCL_bot@mastoxiv.page
2024-05-06 08:27:20

This arxiv.org/abs/2405.00711 has been replaced.
initial toot: mastoxiv.page/@arXiv_csCL_…

@arXiv_condmatsuprcon_bot@mastoxiv.page
2024-05-06 07:15:13

Superconductivity of Bulk Abnormal Magic-stoichiometric Na3Cl Salt Crystals at Normal Pressure
Shuqiang He, Yi-Feng Zheng, Guosheng Shi, Yi-Jie Xiang, Meihui Xiao, Qituan Zhang, Yue-Yu Zhang, Haiping Fang
arxiv.org/abs/2405.01570

@arXiv_qbioNC_bot@mastoxiv.page
2024-05-09 07:08:37

Exploring a Cognitive Architecture for Learning Arithmetic Equations
Cole Gawin
arxiv.org/abs/2405.04550 arxiv.org/pd…

@arXiv_csHC_bot@mastoxiv.page
2024-05-10 07:35:19

Exploring Proactive Interventions toward Harmful Behavior in Embodied Virtual Spaces
Ruchi Panchanadikar
arxiv.org/abs/2405.05920

@arXiv_qfinPR_bot@mastoxiv.page
2024-04-22 08:49:55

This arxiv.org/abs/2310.07692 has been replaced.
initial toot: mastoxiv.page/@arXiv_qfi…

@arXiv_csSE_bot@mastoxiv.page
2024-04-23 08:43:16

This arxiv.org/abs/2210.14306 has been replaced.
link: scholar.google.com/scholar?q=a

@arXiv_csHC_bot@mastoxiv.page
2024-05-10 07:35:19

Exploring Proactive Interventions toward Harmful Behavior in Embodied Virtual Spaces
Ruchi Panchanadikar
arxiv.org/abs/2405.05920

@arXiv_physicsaoph_bot@mastoxiv.page
2024-04-22 07:20:30

More extreme Indian monsoon daily rainfall in El Ni\~no summers
Spencer A Hill, Destiny Zamir Meyers, Adam H Sobel, Michela Biasutti, Mark A Cane, Michael K Tippett, Fiaz Ahmed
arxiv.org/abs/2404.12419

@arXiv_physicssocph_bot@mastoxiv.page
2024-05-31 07:16:04

Math behind everyday life: on distribution of "black days" and beyond
Daniil Fedotov, Sergei Nechaev
arxiv.org/abs/2405.19459

@arXiv_csCY_bot@mastoxiv.page
2024-04-23 08:39:09

This arxiv.org/abs/2305.09497 has been replaced.
initial toot: mastoxiv.page/@arXiv_csCY_…

@arXiv_econGN_bot@mastoxiv.page
2024-06-04 09:13:18

This arxiv.org/abs/2403.01964 has been replaced.
link: scholar.google.com/scholar?q=a

@arXiv_condmatsuprcon_bot@mastoxiv.page
2024-05-06 07:15:13

Superconductivity of Bulk Abnormal Magic-stoichiometric Na3Cl Salt Crystals at Normal Pressure
Shuqiang He, Yi-Feng Zheng, Guosheng Shi, Yi-Jie Xiang, Meihui Xiao, Qituan Zhang, Yue-Yu Zhang, Haiping Fang
arxiv.org/abs/2405.01570

@arXiv_qbioNC_bot@mastoxiv.page
2024-06-06 07:08:21

Neural Representations of Dynamic Visual Stimuli
Jacob Yeung, Andrew F. Luo, Gabriel Sarch, Margaret M. Henderson, Deva Ramanan, Michael J. Tarr
arxiv.org/abs/2406.02659 <…

@arXiv_csET_bot@mastoxiv.page
2024-04-29 06:49:09

QuERLoc: Towards Next-Generation Localization with Quantum-Enhanced Ranging
Entong He, Yuxiang Yang, Chenshu Wu
arxiv.org/abs/2404.16895

@arXiv_physicsaoph_bot@mastoxiv.page
2024-04-22 07:20:30

More extreme Indian monsoon daily rainfall in El Ni\~no summers
Spencer A Hill, Destiny Zamir Meyers, Adam H Sobel, Michela Biasutti, Mark A Cane, Michael K Tippett, Fiaz Ahmed
arxiv.org/abs/2404.12419

@arXiv_csCL_bot@mastoxiv.page
2024-04-24 08:29:54

This arxiv.org/abs/2404.13078 has been replaced.
initial toot: mastoxiv.page/@arXiv_csCL_…

@arXiv_physicsmedph_bot@mastoxiv.page
2024-06-05 08:58:31

This arxiv.org/abs/2403.08447 has been replaced.
link: scholar.google.com/scholar?q=a

@arXiv_csHC_bot@mastoxiv.page
2024-04-30 08:34:46

This arxiv.org/abs/2404.17179 has been replaced.
initial toot: mastoxiv.page/@arXiv_csHC_…

@arXiv_physicssocph_bot@mastoxiv.page
2024-05-31 07:16:06

Point process analysis of geographical diffusion of news in Argentina
Lucio L. Garcia, Giulio Tirabassi, Cristina Masoller, Pablo Balenzuela
arxiv.org/abs/2405.19552

@arXiv_csRO_bot@mastoxiv.page
2024-04-22 07:04:34

An Analysis of Driver-Initiated Takeovers during Assisted Driving and their Effect on Driver Satisfaction
Robin Schwager, Michael Grimm, Xin Liu, Lukas Ewecker, Tim Bruehl, Tin Stribor Sohn, Soeren Hohmann
arxiv.org/abs/2404.13027

@arXiv_csCY_bot@mastoxiv.page
2024-05-01 06:48:13

Cyberbully and Online Harassment: Issues Associated with Digital Wellbeing
Manasi Kulkarni (Department of Industrial & Systems Engineering, University of Michigan-Dearborn, MI, USA), Siddhi Durve (Department of Industrial & Systems Engineering, University of Michigan-Dearborn, MI, USA), Bochen Jia (Department of Industrial & Systems Engineering, University of Michigan-Dearborn, MI, USA)
arxiv.org/abs/2404.18989 arxiv.org/pdf/2404.18989
arXiv:2404.18989v1 Announce Type: new
Abstract: As digital technology becomes increasingly embedded in daily life, its impact on social interactions has become a critical area of study, particularly concerning cyberbullying. This meta-analysis investigates the dual role of technology in cyberbullying both as a catalyst that can exacerbate the issue and as a potential solution. Cyberbullying, characterized by the use of digital platforms to harass, threaten, or humiliate individuals, poses significant challenges to mental and social wellbeing. This research synthesizes empirical findings from diverse studies to evaluate how innovative technological interventions, such as content monitoring algorithms, anonymous reporting systems, and educational initiatives integrated within digital platforms, contribute to reducing the prevalence of cyberbullying. The study focuses on the effectiveness of these interventions in various settings, highlighting the need for adaptive strategies that respond to the dynamic digital landscape. By offering a comprehensive overview of the current state of cyberbullying and the efficacy of technology based solutions, this analysis provides valuable insights for stakeholders, including educators, policymakers, and technology developers, aiming to enhance digital wellbeing and create safer online environments. The findings underscore the importance of leveraging technology not only as a medium of communication but also as a strategic tool to combat the negative impacts of cyberbullying, thus promoting a more inclusive and respectful digital world.

@arXiv_csIR_bot@mastoxiv.page
2024-04-30 07:20:03

Conformal Ranked Retrieval
Yunpeng Xu, Wenge Guo, Zhi Wei
arxiv.org/abs/2404.17769 arxiv.org/pdf/2404.17769

@arXiv_physicsaoph_bot@mastoxiv.page
2024-04-30 07:04:19

The Jive Verification System and its Transformative Impact on Weather Forecasting Operations
Nicholas Loveday, Deryn Griffiths, Tennessee Leeuwenburg, Robert Taggart, Thomas C. Pagano, George Cheng, Kevin Plastow, Elizabeth Ebert, Cassandra Templeton, Maree Carroll, Mohammadreza Khanarmuei, Isha Nagpal
arxiv.org/abs/2404…

@arXiv_csCL_bot@mastoxiv.page
2024-04-22 08:30:49

This arxiv.org/abs/2310.14724 has been replaced.
link: scholar.google.com/scholar?q=a

@arXiv_physicsaoph_bot@mastoxiv.page
2024-04-30 07:04:19

The Jive Verification System and its Transformative Impact on Weather Forecasting Operations
Nicholas Loveday, Deryn Griffiths, Tennessee Leeuwenburg, Robert Taggart, Thomas C. Pagano, George Cheng, Kevin Plastow, Elizabeth Ebert, Cassandra Templeton, Maree Carroll, Mohammadreza Khanarmuei, Isha Nagpal
arxiv.org/abs/2404…

@arXiv_csHC_bot@mastoxiv.page
2024-04-29 07:13:01

Meta-Object: Interactive and Multisensory Virtual Object Learned from the Real World for the Post-Metaverse
Dooyoung Kim, Taewook Ha, Jinseok Hong, Seonji Kim, Selin Choi, Heejeong Ko, Woontack Woo
arxiv.org/abs/2404.17179

@arXiv_csIR_bot@mastoxiv.page
2024-04-23 08:41:06

This arxiv.org/abs/2307.02046 has been replaced.
link: scholar.google.com/scholar?q=a

@arXiv_csHC_bot@mastoxiv.page
2024-04-24 06:51:08

PupilSense: Detection of Depressive Episodes Through Pupillary Response in the Wild
Rahul Islam, Sang Won Bae
arxiv.org/abs/2404.14590

@arXiv_csHC_bot@mastoxiv.page
2024-04-22 07:13:11

Using Capability Maps Tailored to Arm Range of Motion in VR Exergames for Rehabilitation
Christian Lourido, Zaid Waghoo, Hassam Khan Wazir, Nishtha Bhagat, Vikram Kapila
arxiv.org/abs/2404.12504