Color and Grey-Level Co-Occurrence Matrix Analysis for Predicting Sensory and Biochemical Traits in Sweet Potato and Potato by Judith Ssali Nantongo, Edwin Serunkuma, Gabriela Burgos, Mariam Nakitto, Joseph Kitalikyawe, Thiago Mendes, Fabrice Davrieux, Reuben Ssali

“…With instrumental color and texture parameters as predictors, low to moderate accuracy was detected in the machine learning models developed to predict sensory panel traits. …”
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Multi-institutional TSA-amplified Multiplexed Immunofluorescence Reproducibility Evaluation (MITRE) Study by Bernard A Fox, Chichung Wang, Kristin Roman, Carla Coltharp, Carmen Ballesteros-Merino, Shawn M Jensen, Janis M Taube, David L Rimm, Cliff Hoyt, Mei Jiang, Edwin R Parra, Ignacio Wistuba, Elizabeth L Engle, John McGuire, Bethany Remeniuk, Darren Locke

“…Intersite and intrasite reproducibility were assessed by linear fits to plots of cell densities, including %PDL1 expression by TCs and ICs in the breast and NSCLC TMAs.Results Comparison of the percent positive cells for each marker between mIF and IHC revealed that enhanced amplification in the mIF assay was required to detect low-level expression of PD-1, PD-L1, FoxP3 and CD68. …”
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High-Frequency-Based Transmission Line Percentage Differential Protection With Traveling Wave Alignment by Igor F. Prado, Flavio B. Costa, Kleber M. Silva, Rodrigo P. Medeiros, Bruce A. Mork

“…This paper presents a wavelet-based differential protection algorithm for transmission lines. It uses restraint and operating components obtained with high-frequency components of a few kHz from instantaneous energy values of the real-time boundary stationary wavelet transform instead of low-frequency components from phasor estimation. …”
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Underwater Acoustic Measurements to Estimate Wind and Rainfall in the Mediterranean Sea by Sara Pensieri, Roberto Bozzano, Jeffrey A. Nystuen, Emmanouil N. Anagnostou, Marios N. Anagnostou, Renzo Bechini

“…The study period included combination of high and low wind and rainfall episodes and two storm events that caused two floods in the vicinity of La Spezia and in the city of Genoa in 2011. …”
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A Cross-Calibration Approach for Coastline Extraction With Time Series Satellite Images by Hua Yang, Jintao Xia, Jiang Zhang

“…The steep slope identification algorithm (SSI-A) is employed to detect these areas. …”
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Correction of Disturbances Influence on Results of Elongated Objects's Probe Microscopy Using Predictive Relief Estimates by P. V. Gulyaev

“…The purpose of this work was to develop an algorithm for locating the objects skeletons adapted to the images peculiarities in scanning probe microscopy and does not require significant computing resources. …”
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On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data by Tomasz Hachaj, Marcin Piekarczyk

“…In this paper, we address the issues of the explainability of reinforcement learning-based machine learning agents trained with Proximal Policy Optimization (PPO) that utilizes visual sensor data. We propose an algorithm that allows an effective and intuitive approximation of the PPO-trained neural network (NN). …”
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A dataset of tracked mesoscale precipitation systems in the tropics by James Russell, Manikandan Rajagopal, Peter Veals, Gregor Skok, Edward Zipser, Michell Tinoco‐Morales

“…Abstract Mesoscale Convective Systems (MCSs) are often quantified via surface‐based radar network, geostationary satellite, or low earth orbit satellite observations. However, each of these has drawbacks for detecting cloud systems such as a lack of global coverage, a lack of variables to quantify deep convective cloud and precipitation properties, and a lack of continuous observations of individual MCSs, respectively. …”
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BEV-CAM3D: A Unified Bird’s-Eye View Architecture for Autonomous Driving with Monocular Cameras and 3D Point Clouds by Daniel Ayo Oladele, Elisha Didam Markus, Adnan M. Abu-Mahfouz

“…BEVCAM3D integrates a deformable cross-modality attention module for feature alignment and a fast ground segmentation algorithm to reduce computational overhead by 40%. …”
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An Energy-Efficient Battery Monitoring and Logging System for Agricultural Robotics with CAN Bus Integration by Soosaar Guido, Lillerand Tormi

“…A key innovation is its adaptive data acquisition algorithm, which adjusts polling frequency based on battery activity and temperature thresholds, significantly reducing power consumption without compromising responsiveness. …”
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Event-Based Visual/Inertial Odometry for UAV Indoor Navigation by Ahmed Elamin, Ahmed El-Rabbany, Sunil Jacob

“…Compared with the state-of-the-art U-SLAM algorithm, our approach achieves a substantial reduction in the mean positional error and RMSE in simulated environments, showing up to 50% and 47% reductions along the <i>x</i>- and <i>y</i>-axes, respectively. …”
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Quantitative Analysis of Sulfur Elements in Mars-like Rocks Based on Multimodal Data by Yuhang Dong, Zhengfeng Shi, Junsheng Yao, Li Zhang, Yongkang Chen, Junyan Jia

“…The Zhurong rover of the Tianwen-1 mission has detected sulfates in its landing area. The analysis of these sulfates provides scientific evidence for exploring past hydration conditions and atmospheric evolution on Mars. …”
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Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks by Matteo Marouf, Pierre Machart, Vikas Bansal, Christoph Kilian, Daniel S. Magruder, Christian F. Krebs, Stefan Bonn

“…Augmenting sparse cell populations with cscGAN generated cells improves downstream analyses such as the detection of marker genes, the robustness and reliability of classifiers, the assessment of novel analysis algorithms, and might reduce the number of animal experiments and costs in consequence. cscGAN outperforms existing methods for single-cell RNA-seq data generation in quality and hold great promise for the realistic generation and augmentation of other biomedical data types.…”
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Video analysis reveals early signs of Bradykinesia in REM sleep behavior disorder and Parkinson’s disease by Diego L. Guarín, Gabriela Acevedo, Carolina Calonge, Joshua K. Wong, Nikolaus R. McFarland, Adolfo Ramirez-Zamora, David E. Vaillancourt

“…Movement amplitude, speed, and their decrements during the task were directly estimated from the videos using machine learning algorithms. Bradykinesia and hypokinesia were detectable in PD but not in iRBD, while decrement in movement amplitude and speed were observed in PD and iRBD. …”
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Development of Automated 3D LiDAR System for Dimensional Quality Inspection of Prefabricated Concrete Elements by Shuangping Li, Bin Zhang, Junxing Zheng, Dong Wang, Zuqiang Liu

“…However, current practices remain heavily reliant on manual inspection, which results in high operator dependency and low efficiency. Existing Light Detection and Ranging (LiDAR)-based methods also require skilled professionals for scanning and subsequent point cloud processing, thereby presenting technical challenges. …”
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Continuous digital cough monitoring during 6-month pulmonary tuberculosis treatment by Mihaja Raberahona, Alexandra Zimmer, Rivonirina Andry Rakotoarivelo, Patrick Andriniaina Randrianarisoa, Garcia Rambeloson, Etienne Rakotomijoro, Christophe Elody Andry, Haingonirina Anique Razafindrakoto, Dera Andriantahiana, Mamy Jean de Dieu Randria, Niaina Rakotosamimanana, Simon Grandjean Lapierre

“…Participants’ coughs were continuously monitored during 6 months with a smartphone loaded with an app able to detect cough by using an AI algorithm. Results 22 participants were included. …”
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Spectroscopic photoacoustic denoising framework using hybrid analytical and data-free learning method by Fangzhou Lin, Shang Gao, Yichuan Tang, Xihan Ma, Ryo Murakami, Ziming Zhang, John D. Obayemi, Winston O. Soboyejo, Haichong K. Zhang

“…This technique has been widely applied in areas such as vascular mapping, tumor detection, and therapeutic monitoring. However, PA imaging is highly susceptible to noise, leading to a low signal-to-noise ratio (SNR) and compromised image quality. …”
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SHARPNESS IMPROVEMENT OF MAGNETIC RESONANCE IMAGES USING A GUIDED-SUBSUMED UNSHARP MASK FILTER by Manar AL-ABAJI, Zohair AL-AMEEN

“…The GSUM utilizes an improved guided filter instead of the low-pass Gaussian filter and a dynamic sharpening parameter. …”
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Construction and analysis of a prognostic risk scoring model for gastric cancer anoikis-related genes based on LASSO regression by Ai CHEN, Xiaowei CHEN, Yanan WANG, Xiaobing SHEN

“…Gene expression levels in gastric cancer clinical samples and cells were detected by real-time quantitative PCR (RT-qPCR); Kaplan-Meier (KM) survival curves, univariate and multivariate Cox regression analyses were used to verify the predictive efficiency of the prognostic risk scoring model for the prognosis of gastric cancer patients; CIBERSORT and ESTIMATE algorithms were used to analyze the immune cell infiltration levels in patients with different risk groups; the correlation between risk scores and immune checkpoint expression levels in gastric cancer patients was analyzed using the R package "ggplot2" and "ggExtra", and the correlation between tumor mutation burden (TMB) and risk scores was assessed; chemotherapy drug sensitivity analysis was used to evaluate the value of the constructed prognostic risk scoring model in gastric cancer chemotherapy. …”
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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&#x2019; states &#x2013; usually, positions and velocities (Multi-Object Tracking). …”
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