Efficient Stereo Visual Odometry on FPGA Featuring On-Chip Map Management and Pipelined Descriptor-Based Block Matching by Yuki Ichikawa, Kazushi Kawamura, Masato Motomura, Thiem van Chu

“…These irregular patterns arise from the dynamic and non-uniform nature of feature detection, stereo matching, and map management, which vary significantly with scene complexity and camera movement. …”
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Identifying common disease trajectories of Alzheimer’s disease with electronic health recordsResearch in context by Mingzhou Fu, Sriram Sankararaman, Bogdan Pasaniuc, Keith Vossel, Timothy S. Chang

“…Causal inferences were explored using the Greedy Equivalence Search algorithm. Validation in the UCHDW included association tests and comparison to control groups. …”
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SEMIOTICS, DIAGNOSTICS AND THERAPY TACTICS OF DEPRESSIVE DISORDERS IN CLINICAL MEDICINE by N. A. Kornetov

“…There, about 1450 doctors of different occupations were acquainted with the detection, management and treatment of MDD. The Russian version of WPA/PTD programs was created. …”
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Digital Twin-Based Technical Research on Comprehensive Gear Fault Diagnosis and Structural Performance Evaluation by Qiang Zhang, Zhe Wu, Boshuo An, Ruitian Sun, Yanping Cui

“…However, the current gear operation is still faced with problems such as poor monitoring, a single detection index, and low data utilization, which lead to incomplete evaluation results. …”
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Adaptive respiratory muscle trainer based on hybrid nanogenerator sensor and artificial intelligence by Ziao Xue, Puchuan Tan, Jiangtao Xue, Yuan Xi, Minghao Liu, Yang Zou, Qiang Zheng, Zhou Li, Yuxiang Wu

“…With the help of the principal component analysis algorithm, features related to the fatigue state of muscles were extracted from the collected signals, and the accuracy rate can reach 94.4%. …”
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Predictive model for determining the indications for automated 3D ultrasound for screening patients at low risk of developing breast tumors by A. E. Garanina, A. V. Kholin

“…The developed algorithms will help optimize screening and referral for additional examinations, which is of practical importance for improving diagnostics and optimizing healthcare resources.…”
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Development and Internal Validation of a Machine Learning-Based Colorectal Cancer Risk Prediction Model by Deborah Jael Herrera, Daiane Maria Seibert, Karen Feyen, Marlon van Loo, Guido Van Hal, Wessel van de Veerdonk

“…While screening tools such as the fecal immunochemical test (FIT) aid in early detection, they do not provide insights into individual risk factors or strategies for primary prevention. …”
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Development and validation of a machine learning model based on multiple kernel for predicting the recurrence risk of Budd-Chiari syndrome by Weirong Xue, Bing Xu, Hui Wang, Xiaoxiao Zhu, Jiajia Qin, Guangshuang Zhou, Peilin Yu, Shengli Li, Yingliang Jin

“…The model exhibits strong potential for early detection, risk stratification, and recurrence prevention in BCS patients.…”
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SINS/OD integrated navigation system for shearer based on robust closed-loop path calibration by YAN Ming, FU Xiang, WANG Ranfeng, YANG Xinyu, LIU Bin

“…Then, the MCCKF was adopted to replace the traditional KF, reducing the interference caused by erroneous predicted positions in the traditional closed-loop calibration method on straightness detection. Finally, an Adaptive Kernel Bandwidth algorithm was introduced into the MCCKF (AMCCKF), achieving good robustness without pre-setting the kernel bandwidth parameter. …”
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Room-temperature upcycling of agricultural waste to carbon dots and its application as a selective fluorescence nanoprobe for iron (III) analysis in diverse samples by Heba M. Hashem, Mahmoud El-Maghrabey, Hadir Borg, Galal Magdy, Fathalla Belal, Rania El-Shaheny

“…The method whiteness has also been assessed by the RGB 12 algorithm, which gives a whiteness parameter of 92.5 that highlights its practicality, greenness, and analytical performance. …”
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Towards an automated protocol for wildlife density estimation using camera‐traps by Andrea Zampetti, Davide Mirante, Pablo Palencia, Luca Santini

“…We then applied the two models to obtain density estimates of three focal species (roe deer Capreolus capreolus, red fox Vulpes vulpes and Eurasian badger Meles meles) in a reserve in central Italy. Species detection and classification was carried out both by the user and machine learning algorithms (respectively, MegaDetector and Wildlife Insights), and all outputs were used to estimate density and ultimately compared. …”
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Clinical and Molecular Genetic Features of Autoinflammatory Syndromes in Children by Е. I. Alexeeva, K. V. Savostyanov, Т. V. Sleptsova, А. А. Pushkov, S. I. Valieva, Т. М. Bzarova, K. B. Isaeva, Е. G. Chistyakova, А. М. Chomakhidze, R. V. Denisova, А. G. Nikitin, А. V. Pakhomov

“…The necessity of the development of a universal model of the diagnostic algorithm for identification of autoinflammatory syndromes using next-generation sequencing technologies is grounded.…”
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Cross-Database Evaluation of Deep Learning Methods for Intrapartum Cardiotocography Classification by Lochana Mendis, Debjyoti Karmakar, Marimuthu Palaniswami, Fiona Brownfoot, Emerson Keenan

“…Efforts to address this issue have focused on data-driven deep-learning methods to detect fetal compromise automatically. However, their progress is impeded by limited CTG training datasets and the absence of a standardized evaluation workflow, hindering algorithm comparisons. …”
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Iron status among blood donors deferred due to low haemoglobin level by Kovač Mirjana, Erić Bojana, Stojneva-Istatkov Jelena, Lukić Vojislav, Milić Ana, Vukićević Dragana, Orlić Dušan, Tomić Branko

“…Based on our results, the determination of the algorithm in the iron deficiency detection is necessary, while the capillary method (HemoCue) represents a more convenient method for Hb testing prior to blood donation.…”
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Inter-annual changes and growth trends mapping of mangrove using Landsat time series imagery by Xiaohui Huang, Yingchun Fu, Hu Ding, Guoan Tang, Peifeng Ma, Liangyun Liu, Yufei Xue, Shuting Wu, Ye Chen

“…To facilitate long-term mapping of mangroves, the Continuous Change Detection and Classification (CCDC) algorithm was utilized on the Google Earth Engine platform (GEE). …”
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Real-Time Integration of Optical Coherence Tomography Thickness Map Overlays for Enhanced Visualization in Epiretinal Membrane Surgery: A Pilot Study by Ferhat Turgut, Keisuke Ueda, Amr Saad, Tahm Spitznagel, Luca von Felten, Takashi Matsumoto, Rui Santos, Marc D. de Smet, Zoltán Zsolt Nagy, Matthias D. Becker, Gábor Márk Somfai

“…Subsequently, for consecutive frames, feature point extraction (the Shi–Tomasi method) and optical flow computation (the Lucas–Kanade algorithm) were used to calculate frame-by-frame transformations, which were applied to the OCT image to maintain alignment in near real time. (3) Results: The method achieved a 92.7% success rate in optical flow detection and maintained an average processing speed of 7.56 frames per second (FPS), demonstrating the feasibility of near real-time application. (4) Conclusions: The developed approach facilitates enhanced intraoperative visualization, providing surgeons with easier retinal structure identification which results in more comprehensive data-driven decisions. …”
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Counting Cattle in Argentina with AI and Satellite Images by S. Torrusio, J. Gonzalez, J. Gonzalez, M. Errázquin, A. Cereceda, M. J. Cassano, N. Morales, R. Saucedo

“…The objective was the development of a Deep Learning algorithm for the detection of livestock, cows in particular, in very high-resolution satellite images (provided by the Argentine Space Agency (CONAE)) and its subsequent counting. …”
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Deep LBLS: Accelerated Sky Region Segmentation Using Hybrid Deep CNNs and Lattice Boltzmann Level-Set Model by Fatema A. Albalooshi, M. R. Qader, Yasser Ismail, Wael Elmedany, Hesham Al-Ammal, Muttukrishnan Rajarajan, Vijayan K. Asari

“…Accurate segmentation of the sky region is crucial for various applications, including object detection, tracking, and recognition, as well as augmented reality (AR) and virtual reality (VR) applications. …”
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USSD: Unsupervised Sleep Spindle Detector by Edgardo Ramirez, Pablo A. Estevez, Martin D. Adams, Claudio A. Perez, Marcelo Garrido Gonzalez, Patricio Peirano

“…An unsupervised adaptive threshold method based on the distribution of the automatically detected SS lengths is developed, which allows the adaptation of the USSD algorithm to different datasets in an unsupervised way. …”
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Clinical prediction model for MODY type diabetes mellitus in children by D. N. Laptev, E. A. Sechko, E. M. Romanenkova, I. A. Eremina, O. B. Bezlepkina, V. A. Peterkova, N. G. Mokrysheva

“…BACKGROUND: MODY (maturity-onset diabetes of the young) is a rare monogenic form of diabetes mellitus, the gold standard of diagnosis is mutations detection in the genes responsible for the development of this form diabetes. …”
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