Automatic Fish Feeding and Temperature Control System for Aquariums Based on Internet of Things (IoT) by Made Ayu Sri Widyati, Yusuf Anshori, Chairunnisa Ar. Lamasitudju, Rahmah Laila, Yuri Yudhaswana Joefrie

“…Based on the test, the average percentage of error in the temperature sensor is 0,08%, the weight sensor is 1.10%, and the ultrasonic sensor is 1.61%. …”
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Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion by Long Qin

“…The deep transfer learning sentiment analysis model designed based on this achieves the best classification accuracy, with a minimum mean absolute error of 0.128, and good performance in accuracy recall and receiver operation characteristics. …”
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Typical Fault Estimation and Dynamic Analysis of a Leader-Follower Unmanned Aerial Vehicle Formation by Jian Shen, Qingyu Zhu, Xiaoguang Wang, Pengyun Chen

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Geometric Inspection in 3D Concrete Manufacturing: Comparison of Data Capturing Techniques by M. Maboudi, K. Mawas, M. Gerke

“…In all cases, the Root Mean Square Error (RMSE) is less than 1mm which is acceptable for the majority of applications within the realm of digital construction. …”
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A Real Time Cardiomyopathy Detection Tool Using Ml Ensemble Models by Salvador de Haro, Esteban Becerra, Pilar González-Férez, José M. García, Gregorio Bernabé

“…This work demonstrates how state-of-the-art machine learning techniques can seamlessly integrate into clinical practice to reduce human error and expedite diagnostic processes.…”
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Evaluating the impact of watershed management on surface soil moisture in the Kulfo watershed, Ethiopia by Aklilu Assefa Tilahun, Wondafrash Atnafu Zewde, Bizuayehu Abera Ersuncho

“…This was demonstrated by the low root mean squared error (0.019 cm3 cm−3) and high R 2 (0.81). The surface soil moisture of the research area was increased following extensive physical interventions. …”
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Machine Learning Techniques In Wdm-Fso Systems: Comparative Study by Ranim Younes, Mohammad Nassr

“…Furthermore, machine learning algorithms were used to predict the quality factor of the proposed system and then the performance metrics R2 and RMSE (Root Mean Square Error) were used to compare between the algorithms. …”
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Algorithm for estimating the absolute total electron content of the ionosphere from dual-frequency phase and range satellite measurements by A. S. Shapkin

“…The algorithm was used to estimate the total electronic content within six months of observations, and the average error of the resulting estimate was calculated.Conclusion. …”
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A New High-Performance Photovoltaic Emulator Suitable for Simulating and Validating Maximum Power Point Tracking Controllers by Ambe Harrison, Njimboh Henry Alombah

“…Photovoltaic (PV) research is rapidly growing, and the need for controlled environments to validate new MPPT controllers is becoming increasingly important. …”
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Implementation of Kalman Filter on PID Based Quadcopter for Controlling Pitch Angle by Ernando Rizki Dalimunthe, Novan Dwiki Ananda, Jaka Persada Sembiring, Muhammad Anwar Sadat Faidar, Elka Pranita, Akhmad Jayadi, Novia Utami Putri

“…Optimal outcomes during system response testing were achieved with parameters of Kp at 2.95, Ki at 0.23, and Kd at 0.02, resulting in superior oscillatory response, including a 9-degree overshoot, a 5-second rise time, a 15-second settling time, and a 0.15-degree steady-state error, showcasing effective regulation of the quadcopter pitch angle. …”
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Hydrodynamic Features of Gas-Liquid Flow Movement in a Separation Device Plane Channel with an Oscillating Wall by Pavlenko I.V., Liaposhchenko O.O., Sklabinskyi V.I., Ivanov V.O., Gusak O.G.

“…In this paper, the movement of a gas-fluid flow in a plane channel with an oscillating wall was investigated. The aim of the research is to increase the efficiency of separation equipment by imposing the vibration impact on a gas-liquid flow. …”
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Modeling Compressive Strength of Self-Compacting Concrete (SCC) Using Novel Optimization Algorithm of AOA by Francisca Blanco, Ye Woo

“…Self-Compacting Concrete (SCC) has been widely utilized in construction projects and academic research due to its environmentally friendly components, such as fly ash and superplasticizers, which reduce water requirements. …”
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Modeling and optimization of CO2 capture in spray columns via artificial neural networks and response surface methodology by Parisa Tabarzadi, Ahad Ghaemi

“…The results demonstrated that a RBF model with a spread of 1.4 yielded a performance of 0.0006, resulting in a coefficient of correlation R2 of 0.999 for both responses with trainlm as an activation function. The Mean Square Error (MSE) for outlet loading was 0.0009, while for outlet pressure it was 0.0003 over 50 epochs. …”
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Privacy Risk Assessment of Medical Big Data Based on Information Entropy and FCM Algorithm by Xiaoliang Zhang, Tianwei Guo

“…The experimental results show that when the iteration number is 120, the root mean square error value of the improved fuzzy C-means clustering model is 0.08, and the accuracy is 0.98. …”
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Assessment of liquefaction resistance of soil with fines using cyclic hollow cylinder testing. by Jungang Liu, Liang Feng, Yi Zhang, Geng Chen

“…The BPNN model can give superior precision with mean absolute percentage error (MAPE) values of 1.05%, and also can help engineering better understand liquefaction potential of soil samples with different fines content.…”
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Dose Selection for Induced Breeding and Larval Development of Indigenous Ornamental Fish Puntius chola (Hamilton, 1822) by Godhuli Sit, Arun Jana, Angsuman Chanda, Sanjat Kumar Sahu

“…The optimum dose was selected through the trial-and-error method applied 5 doses (0.25 ml/kg, 0.50 ml/kg, 1 ml/kg, 1.5 ml/kg, 2 ml/kg body weight) of synthetic hormone, ovatide to both sexes. …”
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Investigating the accuracy of neural networks for blood pressure prediction in the ICU by Charles J. Gillan, Bartosz Gorecki

“…This paper reports on research which investigates the viability of artificial neural networks, used in an ICU environment, for predicting both systolic and diastolic blood pressure up to 1 h ahead. …”
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Construction of Simulation System for USV Motion Control and Design of Multi-Mode Controllers Based on VRX and Simulink by Peisen Jin, Wenkui Li, Yuhao Yang, Chenyang Shan, Yawen Zhang

“…In the water tank experiment, the USV could stably track the desired path with a relatively small tracking error. Therefore, the effectiveness of the simulation system is strongly confirmed through simulation experiments and the water tank experiment. …”
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Psychomotor function in chronic daily Cannabis smokers during sustained abstinence. by Wendy M Bosker, Erin L Karschner, Dayong Lee, Robert S Goodwin, Jussi Hirvonen, Robert B Innis, Eef L Theunissen, Kim P C Kuypers, Marilyn A Huestis, Johannes G Ramaekers

“…Critical frequency (λ(c)) of the CTT and tracking error and control losses of the DAT were the primary outcome measures. …”
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The Current Status of Microscopical Hair Comparisons by Walter F. Rowe

“…Supreme Court’s Daubert decision, hair microscopists must be better trained and undergo frequent proficiency testing. More research on the error rates of microscopical hair comparisons should be undertaken, and guidelines for the permissible interpretations of such comparisons should be established. …”
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