Recent developments in stimuli-responsive polymer for emerging applications: A review by Abdelrahman K.A. Khalil, Yeit Haan Teow, Mohd Sobri Takriff, Abdul Latif Ahmad, Muataz Ali Atieh

“…Special emphasis is placed on their applications in developing more efficient DD systems, innovative solutions for TE, and highly sensitive environmental sensors. The synthesis, functionalities, and integration of SRPs with complex biomedical and technological systems are discussed, highlighting their potential to revolutionize these fields. …”
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AIPE-Active Neutral Ir(III) Complexes as Bi-Responsive Luminescent Chemosensors for Sensing Picric Acid and Fe³⁺ in Aqueous Media by Qinglong Zhang, Jiangchao Xu, Qiang Xu, Chun Liu

“…They exhibited significant aggregation-induced phosphorescent emission (AIPE) properties in H₂O/THF and were successfully used as bi-responsive luminescent sensors for the detection of picric acid (PA) and Fe³⁺ in aqueous media. …”
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Three-periodic 1D photonic crystals based on dielectric oxides SiO2, Al2O3, TiO2, ZrO2: an emerging class of structures with wide possibilities for applied photonics by I.S. Panyaev, D.G. Sannikov, Yu.S. Dadoenkova, N.N. Dadoenkova

“…The findings may give a competitive advantage in the development of polarization-sensitive couplers, highly sensitive angle sensors for fiber-optic systems, and optical filters operating in the infrared range.…”
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Technology applications in bovine gait analysis: A scoping review. by Amir Nejati, Anna Bradtmueller, Elise Shepley, Elsa Vasseur

“…Among emergent technologies, deep learning and wearable sensors (e.g., accelerometers) appear to be the most promising options. …”
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Attention-Based CNN Fusion Model for Emotion Recognition During Walking Using Discrete Wavelet Transform on EEG and Inertial Signals by Yan Zhao, Ming Guo, Xiangyong Chen, Jianqiang Sun, Jianlong Qiu

“…In addition, the multi-modal signals acquired from EEG and inertial sensors are separately represented as virtual emotion images by discrete wavelet transform (DWT). …”
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Exploring factors that influence the behavior response to novel object tests in young thoroughbred horses: investigating sex, test site and auction history by Lara Klitzing, Katharina Kirsch, Maria Schindler, Roswitha Merle, Gundula Hoffmann, Christa Thöne-Reineke, Mechthild Wiegard

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Application of the Lasso regularisation technique in mitigating overfitting in air quality prediction models by Abbas Pak, Abdullah Kaviani Rad, Mohammad Javad Nematollahi, Mohammadreza Mahmoudi

“…The present investigation, using an extensive collection of data from 16 sensors in Tehran, Iran, from 2013 to 2023, focuses on applying the Least Absolute Shrinkage and Selection Operator (Lasso) regularisation technique to enhance the forecasting precision of ambient air pollutants concentration models, including particulate matter (PM2.5 and PM10), CO, NO2, SO2, and O3 while decreasing overfitting. …”
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The use of phase voltage modules to select the damaged phase in case of single-phase earth faults by V. A. Shabanov, A. V. Sorokin

“…The purpose of the article is to investigate the properties and consider the directions of improvement of damaged phase sensors using phase voltage modules, to determine the areas of their selective action depending on the magnitude of the fault resistance at the point of damage. …”
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Evaluation of the Digital Ventilated Cage® system for circadian phenotyping by Selma Tir, Russell G. Foster, Stuart N. Peirson

“…Based upon capacitive sensors mounted under black individually ventilated cages with inbuilt LED lighting, each cage becomes an independent light-controlled chamber. …”
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Coal Mine Gas Safety Evaluation Based on Adaptive Weighted Least Squares Support Vector Machine and Improved Dempster–Shafer Evidence Theory by Zhenming Sun, Dong Li

“…First, the sensor data of gas concentration, wind speed, dust, and temperature were obtained from the coal mine safety monitoring system, and the prediction results of sensor data are obtained using the AWLS-SVM; hence, the prediction results would be the input of the evaluation model. …”
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Machine learning boosts wind turbine efficiency with smart failure detection and strategic placement by Sekar Kidambi Raju, Muthusamy Periyasamy, Amel Ali Alhussan, Subhash Kannan, Srikanth Raghavendran, El-Sayed M. El-kenawy

“…HARO is the proposed model to traditional models, including the Huber and Automatic Relevance Determination (ARD) Regressors, since Transformers are capable of learning the patterns of the sensors. The overall analysis of the results obtained illustrated that the Housing Asset Repair Optimization tool had reduced downtime while enhancing, at the same time, the accuracy of the prediction of future faults to enable the right-time planning for maintenance activities. …”
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Evaluation of Smart Portable Device for Food Diagnostics: A Preliminary Study on Cape Hake Fillets (M. capensis and M. paradoxus) by Marta Castrica, Sara Panseri, Elena Siletti, Federica Borgonovo, Luca Chiesa, Claudia M. Balzaretti

“…This study evaluated the performance of two instrumental measurements of the sensors: an electronic nose (PEN3; WinMuster Airsense Analytics) and a smart portable device (FOODsniffer; ARS LAB US). …”
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Speckle Filtering Impact on Land Cover Mapping Using the Combination of Sentinel-1 and Sentinel-2 Images (Case study: Bandar Mahshahr) by Mohammad Hossein Hajarian, Sara Attarchi, Seyyed Kazem Alavi Panah

“…Synthetic Aperture Radar (SAR) sensors provides unique information from the Earth surface due to their imaging capabilities in all-weather condition. …”
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Temperature Measuring Method Accuracy Evaluation in the Microarc Heating Process Based on Reproducibility and Uncertainty Indicators by M. S. Stepanov, I. G. Koshlyakova

“…It is necessary to control temperature using thermoelectric sensors for steel products surface alloying in conditions of microarc heating. …”
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Intelligent Turning Tool Monitoring with Neural Network Adaptive Learning by Maohua Du, Peixin Wang, Junhua Wang, Zheng Cheng, Shensong Wang

“…This tool monitoring system has neural network adaptive learning ability with the change of the experimental sample signals which are collected simultaneously by selected vibration and acoustic emission (AE) sensors in all factors turning experiments. Based on LabVIEW and MATLAB hybrid programming, the waveforms of signals are observed and the significant characteristics of signals are extracted through the time-frequency domain analysis and then the calculation of the energy proportion of each frequency band obtained using 4 levels of wavelet packet decompositions of the vibration signal as well as 8 levels of wavelet multiresolution decompositions of the AE signal; the ensuing Relief-F algorithm is used to further reextract the features that are most relevant to the tool state as input of neural network pattern recognition. …”
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3D-AOCL: Analytic online continual learning for imbalanced 3D point cloud classification by Ziqian Zeng, Jianwei Wang, Lin Wu, Weikai Lu, Huiping Zhuang

“…Recent autonomous driving systems heavily rely on 3D point cloud data collected from multiple sensors for environmental awareness and decision-making. …”
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Features of the receiving of piezoelectric thin films by plasma spraying of powdery AlN by V. S. Feshchenko, K. N. Zyablyuk, E. A. Senokosov, V. I. Chukita, D. A. Kiselev

“…It is shown that their piezoelectric coefficient d33 is 60% of the value for a single-domain single-crystal sample for a diamond substrate, which indicates a sufficiently high quality of the resulting film.It is concluded that, although the quality of the layers strongly depends on the substrate, nevertheless, they exhibit a significant piezoelectric effect, which allows the use of this method for the manufacture of piezoelectric sensors, ultrasonic emitters, etc.…”
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Pitting Detection and Characterization From Ultrasound Timelapse Images Using Convolutional Neural Networks by Magnus Wangensteen, Tonni Franke Johansen, Ali Fatemi, Erlend Magnus Viggen, Lars Eidissen Haugan

“…This study proposes a time-lapse ultrasound inspection method to detect early-stage pitting using pulse-echo sensors. By recording multiple ultrasonic traces over time, 2-D timelapse images of ultrasonic reflectivity can be generated and fed into a trained neural network for pitting diagnostics. …”
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FERROMAGNETIC NANOTUBES IN PORES OF TRACK MEMBRANES FOR THE FLEXIBLE ELECTRONIC ELEMENTS by E. Yu. Kaniukov, E. E. Shumskaya, M. D. Kutuzau, D. B. Borgekov, I. E. Kenzhina, A. L. Kozlovskiy, M. V. Zdorovets

“…Also, the presence of magnetic anisotropy, which is caused by the features of crystalline structure and shape of the nanostructures.Based on the analysis of structural and magnetic characteristics of ferromagnetic nanotubes which were synthesized in the pores of track membranes, were proposed the main principles of their using in the elements’ of flexible electronics constructing (magnetic field direction sensors and magnetic memory elements).…”
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The Numerical Simulation of the Transient Plane Heat Source Method to Measure the Thermophysical Properties of Materials by Jianyuan Sun, Siwen Zhang, Pengcheng Shi, Zao Yi, Yougen Yi, Qingdong Zeng

“…The method’s main element is a sensor made of a nickel metal strip in the shape of a double helix, which is inserted into an insulating polymer film. …”
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