Comparative Analysis of Oversampling and SMOTEENN Techniques in Machine Learning Algorithms for Breast Cancer Prediction by Tri Yulian, Erliyan Redy Susanto

“…This imbalance hinders the detection of minority classes (patients with cancer), which is critical for early diagnosis. …”
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Integrating temporal convolutional networks with metaheuristic optimization for accurate software defect prediction. by Ahmed Abdelaziz, Alia Nabil Mahmoud, Vitor Santos, Mario M Freire

“…Two models are proposed to address the research problem: (a) a basic TCN without parameter optimization and (b) a hybrid model integrating TCN with ALO. The findings demonstrate that the hybrid model significantly outperforms the basic TCN in multiple performance metrics, including area under the curve, sensitivity, specificity, accuracy, and error rate. …”
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Validity and Reliability of Kinovea^® for Pelvic Kinematic Measurement in Standing Position and in Sitting Position with 45° of Hip Flexion by Lucía Vicente-Pina, Rocío Sánchez-Rodríguez, Loreto Ferrández-Laliena, Jose Heredia-Jimenez, Julián Müller-Thyssen-Uriarte, Sofía Monti-Ballano, César Hidalgo-García, José Miguel Tricás-Moreno, María Orosia Lucha-López

“…Additionally, the technical error of measurement (TEM), relative TEM, standard error of measurement, and minimal detectable change (MDC) were calculated to establish Kinovea^®’s accuracy. …”
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Practical implementation of a type-2 fuzzy logic controller for steering a service robot by Suci Dwijayanti, Bhakti Y. Suprapto, Ichlasul A. Rizky

“…The proposed T2-FLC system incorporates two input variables: error (difference between the setpoint determined by the light detection and ranging sensor and the steering encoder reading) and de-error (difference between the current and previous error values). …”
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POSITION OF THE TEMPOROMANDIBULAR JOINT DYSFUNCTION SYNDROME AMONG FACIAL PAIN SYNDROMES by V.L. Melnyk, V.K. Shevchenko, Yu.I. Sylenko

“…The pathology of TMJ dysfunction was detected in 80% of the examined patients (Bezrukov V.M, 2002). …”
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Food additive emulsifiers and cancer risk: Results from the French prospective NutriNet-Santé cohort. by Laury Sellem, Bernard Srour, Guillaume Javaux, Eloi Chazelas, Benoit Chassaing, Emilie Viennois, Charlotte Debras, Nathalie Druesne-Pecollo, Younes Esseddik, Fabien Szabo de Edelenyi, Nathalie Arnault, Cédric Agaësse, Alexandre De Sa, Rebecca Lutchia, Inge Huybrechts, Augustin Scalbert, Fabrice Pierre, Xavier Coumoul, Chantal Julia, Emmanuelle Kesse-Guyot, Benjamin Allès, Pilar Galan, Serge Hercberg, Mélanie Deschasaux-Tanguy, Mathilde Touvier

“…Main limitations include possible exposure measurement errors in emulsifiers intake and potential residual confounding linked to the observational design.…”
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Interleukins in lacrimal fluid and diabetic retinopathy by I. V. Lev, N. M. Agarkov

“…Arithmetic average values, their errors, relative risk factors and confidence intervals were calculated, and their significance was evaluated. …”
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An Algorithm for Simplifying 3D Building Models with Consideration for Detailed Features and Topological Structure by Zhenglin Li, Zhanjie Zhao, Wujun Gao, Li Jiao

“…Compared to the QEM algorithm and the other two comparison algorithms selected in this paper, the simplified model resulting from this algorithm exhibit a reduction in Hausdorff distance, mean error, and mean square error to varying degrees. …”
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Enhancing Fault Location Accuracy in Transmission Lines Using Transient Frequency Spectrum Analysis: An Investigation into Key Factors and Improvement Strategies by Mustafa Akdağ, Mehmet Salih Mamiş, Düzgün Akmaz

“…The new proposed source inductance compensation method can reduce the error of 6.55% to 0.88%, where the same error can be reduced to 3.45% with the compensation method given in previous study. …”
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Pioneering machine learning techniques to estimate thermal conductivity of carbon-based phase change materials: A comprehensive modeling framework by Raouf Hassan, Alireza Baghban

“…These findings highlight the effectiveness of the proposed approach in capturing the complex interactions governing thermal conductivity in NEPCMs and provide valuable insights for material design and optimization.…”
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Estimation of diurnal emissions of CO₂ from thermal power plants using spaceborne integrated path differential absorption (IPDA) lidar by X. Zhang, H. Yang, L. Bu, Z. Fan, W. Xiao, B. Chen, L. Zhang, S. Liu, Z. Wang, J. Liu, W. Chen, X. Lee

“…The correlation coefficient between the model fits and satellite observations ranges from 0.49 to 0.88, and the overall relative random error in the estimates is 15.11 %. This paper also analyses the diurnal differences in CO<span class="inline-formula">₂</span> emissions from power plants and finds emission fluctuations directly correlated with regional electricity demand dynamics. …”
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An Observation and Analysis the role of Convolutional Neural Network towards Lung Cancer Prediction by Suranjana Mitra, Annwesha Banerjee Majumder, Tanusree Saha

“…Though CT scan images are mostly used in the diagnosis of cancer, the assessment of scans is an error-prone and time-consuming task. Machine learning and AI-based models can identify and classify types of lung cancer quite accurately, which helps in the early-stage detection of lung cancer that can increase the survival rate. …”
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H and D&thinsp;∕&thinsp;H analysis in olivine and wadsleyite with a multi-analytical approach combining Raman spectroscopy and ion and nuclear probes by A. Gautier, N. Bolfan-Casanova, B. Moine, H. Bureau, H. Khodja, A. C. Withers, L. Piani

“…Then we compared the <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M8" display="inline" overflow="scroll" dspmath="mathml"><mrow class="chem"><mi mathvariant="normal">D</mi><mo>/</mo><mi mathvariant="normal">H</mi></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="24pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="c78995d3f67856633c35697a267d9112"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="ejm-37-305-2025-ie00007.svg" width="24pt" height="14pt" src="ejm-37-305-2025-ie00007.png"/></svg:svg></span></span> ratios determined by SIMS to the <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M9" display="inline" overflow="scroll" dspmath="mathml"><mrow class="chem"><mi mathvariant="normal">OD</mi><mo>/</mo><mi mathvariant="normal">OH</mi></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="41pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="2cc1e29e7cbb5e6250616346ce803788"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="ejm-37-305-2025-ie00008.svg" width="41pt" height="14pt" src="ejm-37-305-2025-ie00008.png"/></svg:svg></span></span> intensity ratio determined by Raman spectroscopy for three wadsleyite samples, finding a conversion factor of 0.85 (error of <span class="inline-formula">∼2</span> %). …”
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Deep learning approaches for quantitative and qualitative assessment of cervical vertebral maturation staging systems. by Abbas Ahmed Abdulqader, Fulin Jiang, Bushra Sufyan Almaqrami, Fangyuan Cheng, Jinghong Yu, Yong Qiu, Juan Li

“…Statistical analyses evaluated the methods' performance, including the Pearson correlation coefficient, mean square error (MSE), success detection rate (SDR), precision-recall metrics, and the F1 score. …”
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Passive surveillance of bat-borne viruses in Hungary by Miss Anna Szabó, Dr. Zsófia Lanszki, Dr. Gábor Kemenesi, Dr. Endre Sós, Miss Ágnes Nagy, Dr. Éva Szűts, Dr. Tamás Görföl

“…Out of the examined animals we detected two positive samples originated from Serotine bats (Eptesicus serotinus). …”
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Pengembangan Automated Image Analysis untuk Menentukan Jumlah Bakteri Tahan Asam (BTA) pada Kasus Tubercolosis by Safri Adam, Puji Astuti, Puspa Amalia, Fadli Sukandiarsyah

“…Abstract Diagnosis of TB (tuberculosis) by health workers is an important key in finding new TB patients. The general diagnosis used in TK 1 Health Facilities (Faskes) is carried out by revealing a patient's sputum specimen using the Ziehl-Neelsen method to detect the presence of acid-fast bacteria such as Mycobacterium tuberculosis, which causes TB. …”
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Various scenarios of measurements using a smartphone with a LiDAR sensor in the context of integration with the TLS point cloud by Janicka Joanna, Błaszczak-Bąk Wioleta

“…Smartphones with Light Detection and Ranging (LiDAR) sensors are increasingly used for engineering measurements. …”
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A DNN-based 5G MIMO system adopting a mix of tactics by Md. Matiqul Islam, Md. Ashraful Islam, Md. Firoz Ahmed

“…The proposed system employs a linear minimum mean square error (LMMSE) equalizer to ensure effective signal detection. …”
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An adaptive prediction method for ultra-short-term generation power of power system based on the improved long- and short-term memory network of sparrow algorithm by Peipei Yang, Zhidong Chen, Wen Tang, Zongyang Liu, Bingrui He

“…The corresponding Mean Absolute Percentage Error (MAPE) values are 0.21 MW, 0.52 MW, and 0.13 MW, while Absolute Error (AE) values reach 0.17 MW, 0.46 MW, and 0.18 MW. …”
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Heterogeneous AI Music Generation Technology Integrating Fine-Grained Control by Hongtao Wang, Li Gong

“…Additionally, a rigorous performance assessment was conducted to evaluate the music generation model&#x2019;s capabilities against alternative approaches. The findings revealed that the suggested model achieved an average mean square error of 0.27 and an average root mean square error of 0.24. …”
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