Dynamic Task Allocation for Heterogeneous Multi-Autonomous Underwater Vehicle Collaboration Under Mine Countermeasures Missions by Juan Li, Baohua Liu, Caiyun Liu, Cong Lin

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Distributed Collaborative Camera Actuation Scheme Based on Sensing-Region Management for Wireless Multimedia Sensor Networks by Wusheng Luo, Qin Lu, Jingjing Xiao

“…Thus, a camera sensor can only be actuated when an event is detected by scalar sensors within its field of view (FoV). …”
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Homeless cats, a societal problem - an analysis of the collaboration between cat shelters and the competent authorities in Sweden by Frida Lundmark Hedman, Malin Karlsson, Jenny Yngvesson

“…This study aimed to scrutinise the collaboration between the CABs and contracted private cat shelters regarding the handling of homeless cats in Sweden. …”
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An open flame and smoke detection dataset for deep learning in remote sensing based fire detection by Ming Wang, Peng Yue, Liangcun Jiang, Dayu Yu, Tianyu Tuo, Jian Li

“…Taking the advantage of rapid advancements in remote sensing technology and artificial intelligence, we introduce the Flame And Smoke Detection Dataset (FASDD), a pioneering collection comprising over 120,000 heterogeneous images covering various fire scenarios, aiming to promote the evolution of fire detection models. …”
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CLSTM-MT (a Combination of 2-Conv CNN and BiLSTM Under the Mean Teacher Collaborative Learning Framework): Encryption Traffic Classification Based on CLSTM (a Combination of 2-Conv... by Xiaozong Qiu, Guohua Yan, Lihua Yin

“…To overcome these challenges, we propose an encrypted traffic recognition method based on a CLSTM model (a combination of 2-conv CNN and BiLSTM) and Mean Teacher collaborative learning. This approach detects and integrates traffic load features with sequence features to improve the accuracy and robustness of encrypted traffic identification while reducing the model’s reliance on labeled data through the consistency constraint of unlabeled data using Mean Teacher. …”
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Low Signal-to-Noise Ratio Optoelectronic Signal Reconstruction Based on Zero-Phase Multi-Stage Collaborative Filtering by Xuzhao Yang, Hui Tian, Fan Wang, Jinping Ni, Rui Chen

“…Traditional signal processing algorithms fail to effectively suppress phase distortion and boundary effects under extremely low SNR conditions, creating a technical bottleneck that severely constrains system detection performance. To address this problem, this paper proposes a Multi-stage Collaborative Filtering Chain (MCFC) signal processing framework incorporating three key innovations: (1) the design of zero-phase FIR bandpass filtering with forward–backward processing and dynamic phase compensation mechanisms to effectively suppress phase distortion; (2) the implementation of a four-stage cascaded collaborative filtering strategy, combining adaptive sampling and anti-aliasing techniques to significantly enhance signal quality; and (3) the development of a multi-scale adaptive transform algorithm based on fourth-order Daubechies wavelets to achieve high-precision signal reconstruction. …”
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MAS-YOLO: A Lightweight Detection Algorithm for PCB Defect Detection Based on Improved YOLOv12 by Xupeng Yin, Zikai Zhao, Liguo Weng

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Increasing Safety of Vulnerable Road Users in Scenarios With Occlusion: A Collaborative Approach for Smart Infrastructures and Automated Vehicles by Thiago de Borba, Ondrej Vaculin, Hormoz Marzbani, Reza Nakhaie Jazar

“…The occlusion, caused by obstructing the sensors’ detection field, limits the vehicle’s perception ability and inhibits the detection of other road users in the surroundings, especially Vulnerable Road Users (VRUs). …”
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A Rotated Object Detection Model With Feature Redundancy Optimization for Coronary Athero-Sclerotic Plaque Detection by Xue Hao, Haza Nuzly Abdull Hamed, Qichen Su, Xin Dai, Linqiang Deng

“…Based on RFDS-SCConv, a lightweight plaque detection framework, YOLO-Plaque, is proposed. RFDS-SCConv and FasterBlock are integrated into the framework to substantially reduce the interference of redundant features during feature extraction and fusion. …”
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A Pre-Trained Collaborative Network Leveraging Multi-Scale Depth Information for Image Deraining and Defogging Enhancement by Dingdiao Mu, Changjiang Liu

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System genetic analysis of intestinal cancer and periodontitis development as influenced by aging and diabesity using Collaborative Cross mice by Iqbal M. Lone, Osayd Zohud, Kareem Midlej, Charles Brenner, Fuad A. Iraqi

“…The insights gained from this approach will enhance early detection, management, and treatment strategies for CRC and related conditions.…”
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MSRFSR: Multi-Stage Refining Face Super-Resolution With Iterative Collaboration Between Face Recovery and Landmark Estimation by Amir Hajian, Supavadee Aramvith

“…By strategically utilizing these modules under an iterative collaboration framework, our method effectively addresses challenges in facial detail recovery, demonstrating enhanced model understanding and refined representation. …”
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Durability of Active Surveillance for Localized Renal Masses: 3-year Outcomes in the Michigan Urological Surgery Improvement Collaborative by Yuzhi Wang, Samantha Wilder, Monica Van Til, Mackenzie Gammons, Mahin Mirza, Sabrina L. Noyes, Mohammad Jafri, Brian Seifman, Khurshid R. Ghani, Alice Semerjian, Craig G. Rogers, Brian R. Lane

“…Methods: Between May 2017 and September 2023, data regarding 2161 (52% of 4178) patients with cT1RMs who initiated AS at Michigan Urological Surgery Improvement Collaborative (MUSIC) practices were reviewed. Factors associated with staying on AS were analyzed. …”
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‘We have opened a can of worms’: using collaborative ethnography to advance responsible artificial intelligence innovation by Andrés Domínguez Hernández, Richard Owen

“…We report on an interdisciplinary collaboration between science and technology studies scholars and data scientists developing an AI system to detect online misinformation. …”
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Understanding human co-manipulation via motion and haptic information to enable future physical human-robotic collaborations by Kody Shaw, John L. Salmon, Marc D. Killpack

“…Human teams intuitively and effectively collaborate to move large, heavy, or unwieldy objects. …”
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Hepatitis B virus infection in HIV-positive individuals in the UK collaborative HIV cohort (UK CHIC) study. by Huw Price, Loveleen Bansi, Caroline A Sabin, Sanjay Bhagani, Andrew Burroughs, David Chadwick, David Dunn, Martin Fisher, Janice Main, Mark Nelson, Deenan Pillay, Alison Rodger, Chris Taylor, Richard Gilson, UK Collaborative HIV Cohort Hepatitis Group, Steering Committee

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Improving interprofessional collaboration in pain clinics through simulation: a longitudinal Readiness for Interprofessional Learning Scale assessment by John Mekail, Ysaac Zegeye, Quinn Lanners, Muhammad Farooq Anwar, Peter K Yi

“…Future efforts could investigate whether similar interventions improve IPC in clinics with lower baseline readiness, as well as explore longer follow-up periods or larger sample sizes to detect nuanced changes in collaboration metrics.…”
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A Survey on Deepfake Video Detection by Peipeng Yu, Zhihua Xia, Jianwei Fei, Yujiang Lu

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ACGAN: adaptive conditional generative adversarial network architecture predicting skin lesion using collaboration of transfer learning models by R. Gomathi, S. Gnanavel, K.E. Narayana, B. Dhiyanesh

“…Skin cancer has become a serious disease which has the potential to scale up if it is not identified earlier. It is imperative to detect and give treatment to skin cancer promptly. …”
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Leveraging AI in digital one health: an inter-university collaboration for emerging and re-emerging infectious disease control in Cameroon by Elvis Asangbeng Tanue, Elvis Asangbeng Tanue, Denis L. Nkweteyim, Denis L. Nkweteyim, Moise Ondua, Moise Ondua, Ginyu Innocentia Kwalar, Ginyu Innocentia Kwalar, Odette Dzemo Kibu, Odette Dzemo Kibu, Madeleine L. Nyamsi, Madeleine L. Nyamsi, Peter L. Achankeng, Peter L. Achankeng, Christian Tchapga, Christian Tchapga, Justine Ayuk, Justine Ayuk, Patrick Jolly Ngono Ema, Patrick Jolly Ngono Ema, Maurice Marcel Sandeu, Maurice Marcel Sandeu, Gregory Eddie Halle-Ekane, Gregory Eddie Halle-Ekane, Jude Dzevela Kong, Dickson Shey Nsagha, Dickson Shey Nsagha

“…This article explores collaboration between research teams based in the faculties of Health Sciences and Science of the University of Buea and the School of Veterinary Medicine and Science of the University of Ngaoundere (DigiCare Cameroon) for integrating artificial intelligence (AI) for early detection and management of ERID through a Digital One Health (DOH) approach. …”
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