Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty by Yanchen Wang, Lisa Singh

“…We then assess the quality of six bias mitigation algorithms that are deployed across different parts of our learning life cycle: pre-processing, in-processing, and post-processing. …”
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Machine learning identification of key genes in cardioembolic stroke and atherosclerosis: their association with pan-cancer and immune cells by Tianxiang Zhang, Chunhui Yuan, Mo Chen, Jinjiang Liu, Wei Shao, Ning Cheng

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Gesture recognition based on flexible solar cells and ultrathin hydrogel film by Rucheng WU, Wenbo DING, Xiaomin XU, Linqi SONG, Weitao XU

“…Daily life involves various gestures, and combining these with smart wearable devices is crucial for improving quality of life.One effective solution to the challenges of gesture recognition and device energy consumption isutilizing the photoelectric conversion characteristics of solar energy-related devices.The data of five commonly used gestures were collected in the research of the combination of flexible solar cells and gesture recognition.Z-Score, low-pass filter, sliding window techniques for signal processing were applied, and successfully achieved 100% predicted accuracy using random forest, support vector machine and neural network algorithms even with small samples which showed that this method had significant advantages in the application of gesture recognition.…”
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Global remodelling of cellular microenvironment due to loss of collagen VII by Victoria Küttner, Claudia Mack, Kristoffer TG Rigbolt, Johannes S Kern, Oliver Schilling, Hauke Busch, Leena Bruckner‐Tuderman, Jörn Dengjel

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Bayesian deep-learning structured illumination microscopy enables reliable super-resolution imaging with uncertainty quantification by Tao Liu, Jiahao Liu, Dong Li, Shan Tan

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Protocol for multiplex immunofluorescence imaging of mouse intestinal tumors by Shuqin Li, Siyuan You, Kairui Mao

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History of Agricultural Engineering School of Thought by Editorial Article

“…DSTU graduates technicalists and carries out research in the area of mechanical engineering and metal processing, production machinery and equipment, machine construction and reliability, instrument making and engineering medicine, robotics and mechatronics, standardization and quality management, environmental engineering protection and life safety, vocational education and psychology, economics and management, electronics and system engineering, computer equipment and data systems.…”
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A Dual-Technology Approach: Handheld NIR Spectrometer and CNN for <i>Fritillaria</i> spp. Quality Control by Fengling Li, Wen Lei, Juan Li, Xiaoting Wang, Jingyu Su, Tangnuer Sahati, Xiahenazi Aierkenjiang, Ruyi Tian, Weihong Zhou, Jixiong Zhang, Jingjing Xia

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Optimization of Drying Parameters for Total Phenolic Content of Papaya Using Response Surface Methodology by Ferdusee Akter, Shireen Akther, Afroza Sultana, Md. Motiur Rahman, Ujjwal Kumar Deb

“…An optimum condition of the drying process can minimize nutrient losses and maximize the shelf life of food products. …”
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Deep learning application to roughness classification of road surface conditions through an e-scooter’s ride quality by Asher Virin, Lalitphat Khongsomchit, Sakdirat Kaewunruen

“…Three machine learning models—Random Forest Classifier, Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM) with k-means clustering—were tested using various hyperparameter tuning, post-processing, and data splitting strategies. The models achieved high accuracies above 95%, with the SVM and k-means clustering model consistently reaching up to 100% accuracy and processing times under 700 ms, indicating potential for real-time applications. …”
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THREE-DIMENSIONAL DETECTION OF GAMMA RADIATION AND POLLUTING GASES USING QUADROCOPTERS by A. Molnar

“…The experiments also indicate that, when replacing the used sensors, it may be necessary to change the processing of the measured data in accordance with the characteristics of the particular sensor; however, in general, data processing and visualisation of the results can be carried out in practice.…”
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Efficiency Comparison of Prediction Methods and Analysis of Factors Affecting Savings of People in the Central Region of Thailand by Achara Phaeobang, Saichon Sinsomboonthong

“…The data were collected from January 2019 to December 2019 from questionnaires distributed to samples of households. …”
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The long-term correlates of developmental stress on whole-brain functional connectivity during emotion regulation by Seda Sacu, Andrea Hermann, Tobias Banaschewski, Martin F. Gerchen, Nathalie E. Holz

“…Abstract Early life stress is associated with alterations in brain function and connectivity during affective processing, especially in the fronto-limbic pathway. …”
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Evaluation of mathematical models and artificial neural networks for prediction of sorption isotherm in microwave pre-heated mung bean by Kulwinder Kaur, Satish Kumar, Preetinder Kaur, Rupinder Pal Singh, Inderjit Singh Grewal

“…Abstract Sorption isotherms are essential for understanding the moisture sorption behavior of foods, which is critical for optimizing drying processes, predicting shelf life, and designing effective packaging. …”
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Image-Based Object Identification for Efficient Event-Driven Sensing in Wireless Multimedia Sensor Networks by Mohsin S. Alhilal, Adel Soudani, Abdullah Al-Dhelaan

“…In fact, because of the limited energy of the batteries embedded in motes, the power consumption is the major constraint facing network life time and reliability in WMSN. The efficiency and the validity of these multimedia applications over wireless sensor networks are then dependent on the capabilities of the designer to provide low-power scheme for data processing and energy-aware transmission protocols. …”
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PDE12 mediated pruning of the poly-A tail of mitochondrial DNA-encoded tRNAs is essential for survival by Chenxiao Yu, Marco Tigano, Erin L Seifert

“…The 3 missense mutations that were identified each carry severe phenotypic consequences that correlate with the presence or not of residual PDE12 protein, show cell-type-specific adaptive responses, and specificity in the mtDNA-encoded electron transport chain subunits that are most affected. These new data demonstrate the necessity of PDE12 for life, and provide invaluable insights into RNA processing in mitochondria.…”
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Artificial Intelligence Systems for Solving Problems of Agro­Industrial Complex Digitalization and Robotization by A. L. Ronzhin, A. I. Savel'ev

“…The authors carried out wireless registration of measured and calculated parameters received from the distributed sensors, conducted their analysis based on big data technologies and proactive control of cyber-physical devices responsible for the functioning of the aqua and phytocultures life support systems. …”
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Analytical Device and Prediction Method for Urine Component Concentrations by Zhe Wang, Jianbang Huang, Qimeng Chen, Yuanhua Yu, Xuan Yu, Yue Zhao, Yan Wang, Chunxiang Shi, Zizhao Zhao, Dachun Tang

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Self-supervised learning analysis of multi-FISH labeled cell-type map in thick brain slices by Weijie Zheng, Weijie Zheng, Yiping An, Yiping An, Kang Li, Jinyue Wang, Jianqing Gao, Huawei Mu, Huawei Mu, Jin Tang, Jin Tang, Hao Wang, Hao Wang

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An Evaluation and Implementation of Rule-Based Home Energy Management System Using the Rete Algorithm by Tomoya Kawakami, Naotaka Fujita, Tomoki Yoshihisa, Masahiko Tsukamoto

“…In addition, the number of processes and collecting data are reduced by processing rules based on the Rete algorithm. …”
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