High-Performance Multi-Object Tracking for Autonomous Driving in Urban Scenarios With Heterogeneous Embedded Boards by Alessio Medaglini, Biagio Peccerillo, Sandro Bartolini

“…It is made possible by a plethora of modern technologies, such as AI, low-power hardware, and complex computing. Common stages of Autonomous Driving systems are the identification of objects in the scene (Object Detection), and the ability to predict the evolution of the tracked objects’ states – usually, positions and velocities (Multi-Object Tracking). …”
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The RMaP challenge of predicting RNA modifications by nanopore sequencing by Jannes Spangenberg, Stefan Mündnich, Anne Busch, Stefan Pastore, Anna Wierczeiko, Winfried Goettsch, Vincent Dietrich, Leszek P. Pryszcz, Sonia Cruciani, Eva Maria Novoa, Kandarp Joshi, Ranjan Perera, Salvatore Di Giorgio, Paola Arrubarrena, Irem Tellioglu, Chi-Lam Poon, Yuk Kei Wan, Jonathan Göke, Andreas Hildebrandt, Christoph Dieterich, Mark Helm, Manja Marz, Susanne Gerber, Nicolo Alagna

“…Results demonstrate that a low prediction error and a high prediction accuracy can be achieved on these modifications across different approaches and algorithms. …”
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Early diagnosis of lung cancer using a sensor gas analysis complex: case report by E. O. Rodionov, D. E. Kulbakin, D. V. Podolko, E. V. Obkhodskaya, A. V. Obkhodskiy, S. V. Miller, A. A. Mokh, V. I. Sachkov, A. S. Popov, V. I. Chernov

“…Background. Currently, low-dose computed tomography (LDCT) is the only screening test that reduces the risk of death from lung cancer. …”
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Artificial intelligence-aided endoscopic in-line particle size analysis during the pellet layering process by Orsolya Péterfi, Nikolett Kállai-Szabó, Kincső Renáta Demeter, Ádám Tibor Barna, István Antal, Edina Szabó, Emese Sipos, Zsombor Kristóf Nagy, Dorián László Galata

“…A convolutional neural network-based instance segmentation algorithm was employed to detect particles in focus, ensuring that pellet size could be accurately determined despite the dense flow of the particles. …”
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A Review on the Security of IoT Networks: From Network Layer’s Perspective by Asma Jahangeer, Sibghat Ullah Bazai, Saad Aslam, Shah Marjan, Muhammad Anas, Sayed Habibullah Hashemi

“…With the significant growth in IoT devices, the provision of IoT security is imperative. Routing protocol for low power and lossy networks (RPL) is a network layer protocol, specially designed for routing in IoT devices. …”
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All-day free-space quantum key distribution with thermal source towards quantum secure communications for unmanned vehicles by Hanwen Yin, Peng Huang, Zehao Zhou, Tao Wang, Xueqin Jiang, Guihua Zeng

“…Specifically, a novel scheme is proposed to reduce excess noise from PSP, and efficient quantum coherence detection alongside advanced digital signal processing algorithms is developed to achieve low-noise synchronized raw data acquisition. …”
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Research Progress on Vehicle Status Information Perception Based on Distributed Acoustic Sensing by Wenqiang Dong, Xin Cheng, Jingmei Zhou, Wei Liu, Jianjin Gao, Chuan Hu, Xiangmo Zhao

“…Although deep learning achieves high classification accuracy and low latency, its generalization capability remains limited. …”
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Use of four next-generation sequencing platforms to determine HIV-1 coreceptor tropism. by John Archer, Jan Weber, Kenneth Henry, Dane Winner, Richard Gibson, Lawrence Lee, Ellen Paxinos, Eric J Arts, David L Robertson, Larry Mimms, Miguel E Quiñones-Mateu

“…Each platform detected all major virus variants within the HIV-1 population with similar frequencies. …”
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FMCW Radar-Aided Navigation for Unmanned Aircraft Approach and Landing in AAM Scenarios: System Requirements and Processing Pipeline by Paolo Veneruso, Luca Manica, Enrico Miccio, Roberto Opromolla, Carlo Tiana, Giacomo Gentile, Giancarmine Fasano

“…The radar is designed to detect high-reflectivity targets placed in the landing area and uses a matching algorithm to associate these detections with their known positions, enabling reliable corrections to the aircraft navigation state. …”
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Neuromorphic principles for machine olfaction by Nik Dennler, Aaron True, André van Schaik, Michael Schmuker

“…Neuromorphic computing, exemplified by breakthroughs in machine vision through concepts like address-event representation and send-on-delta sampling, has revolutionised sensor technology, enabling low-latency and high dynamic range perception with minimal bandwidth. …”
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Unmanned Ground Vehicles for Continuous Crop Monitoring in Agriculture: Assessing the Readiness of Current ICT Technology by Maurizio Agelli, Nicola Corona, Fabio Maggio, Paolo Vincenzo Moi

“…Key aspects considered include algorithms for in-field navigation, AIoT models for detecting agricultural emergencies, and advanced edge devices that are capable of managing sensors, collecting data, performing real-time deep learning inference, ensuring precise mapping and navigation, and sending alert reports with minimal human intervention. …”
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Advances in optical biosensors as alternative diagnostics for clinical determination of ESKAPE bacteria by Maargavi Singh, Sreelakshmi C․S․, Chiranjay Mukhopadhyay, Sajan D. George, Pooja Nag, Kapil Sadani

“…The issue is pertinent to low and middle-income countries, which rely heavily on their primary and secondary healthcare setups with severely constrained infrastructure and diagnostics. …”
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A Multi-Head Attention-Based Lightweight Generative Adversarial Network for Thyroid Ultrasound Video Super-Resolution by Yuchen Ning, Xianshuang Meng, Lingxiao Zhou, Jun Liu, Shijie Qiu, Jingfang Wu, Xi Wei, Jun Ying, Siwei Zhu, Yantian Zhang

“…Thyroid cancer is a prevalent malignancy, highlighting the critical need for early detection of thyroid nodules. Despite ultrasound being the primary diagnostic modality, its limited resolution often hampers the accuracy of identifying malignant nodules. …”
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Performance of a Retinal Imaging Camera With On-Device Intelligence for Primary Care: Retrospective Study by Matthew Silvestrini, Clarissa Lui, Anil Patwardhan, Ying Chen, Tayyeba Ali, Elie Glik, Honglei Wu, Brian Levinstein, Adrianna Wenz, Nathan Shemonski, Lin Yang, Ian Atkinson, Sam Kavusi

“…In the quality control algorithm evaluation (N=172, K=343 images), we found a positive association (φ ConclusionsOur findings about the performance and usability of this retinal camera system support its deployment as an integrated end-to-end retinal service for primary care. …”
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Underwater soundscape in Seaview Bay, Antarctica, and triple ascending trill of the leopard seal (Hydrurga leptonyx) underwater vocalizations by Dong‐Gyun Han, Jee Woong Choi, Jong‐U Kim, Jeong‐Hoon Kim, Hyoung Sul La

“…Our results could contribute to the development of detection and localization algorithms for leopard seal vocalizations and can be used as fundamental data for studies related to the vocalization and behavior of this species.…”
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Target identification of natural products in cancer with chemical proteomics and artificial intelligence approaches by Guohua Li, Qian Shi, Qibiao Wu, Xinbing Sui

“…Conversely, label-free techniques allow for the detection of NP-protein interactions without structural modification but may struggle with transient interactions or low-abundance targets. …”
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Occupancy Monitoring Using BLE Beacons: Intelligent Bluetooth Virtual Door System by Nasrettin Koksal, AbdulRahman Ghannoum, William Melek, Patricia Nieva

“…In this paper, we propose an Intelligent Bluetooth Virtual Door (IBVD) OM system for the indoor/outdoor tracking of individuals using the interaction between a BLE device worn by the occupant and two BLE beacons located at the entrance/exit points of a doorway. ML algorithms are used to perform intelligent OM through pattern detection from the BLE RSSI signal(s). …”
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Mutation Scanning in Wheat by Exon Capture and Next-Generation Sequencing. by Robert King, Nicholas Bird, Ricardo Ramirez-Gonzalez, Jane A Coghill, Archana Patil, Keywan Hassani-Pak, Cristobal Uauy, Andrew L Phillips

“…Despite recent advances in wheat genomics, most current TILLING methods are low to medium in throughput, being based on PCR amplification of the target genes. …”
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Fault analysis of railway track superstructure using time-frequency method from vibrational data by Shahzor Memon, Imtiaz Hussain, Lubna Moin

“…The safety and operational efficiency of railroads could be improved by further research that combines these time-frequency characteristics with machine learning algorithms to increase fault detection accuracy and create monitoring systems for more effective proactive maintenance.…”
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Doctors undergoing inguinal hernia repair with the three-layer Shouldice technique: The PRO*Shouldice retrospective cohort study by Renato Miranda de Melo, Pedro Ducatti de Oliveira e Silva, Rodolfo Demitre Clemente Henriques da Silva, João Elias de Godoi, Valério Ribeiro de Oliveira

“…Some studies have been applying algorithms based on Patient-Reported Outcomes (PRO) to facilitate the detection of recurrence. …”
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