Multimodal intelligent biosensors framework for fall disease detection and healthcare monitoring by Iqra Aijaz Abro, Shuaa S. Alharbi, Naif S. Alshammari, Asaad Algarni, Nouf Abdullah Almujally, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

“…This diversified classifier setting compensates for the variety of data and optimizes the system for differentiating between ADL and fall events.DiscussionThe above system provides outstanding results in recognizing these activities on both datasets and illustrates that the multimodal data fusion can boost the human activity identification system for health and safety purposes.…”
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Optimization of frequency dynamic characteristics in microgrids: An improved MPC-VSG control by Rutian Wang, Mingfeng Wang, Kua Wang, Xiuyun Wang

“…In MPC control, the measured parameters at the current moment are used to predict the state quantities at the future moment, and then the target function is designed with the angular frequency deviation and the VSG power output as performance indicators, and the weight coefficients in the target function are updated in real-time by detecting the frequency deviation. After solving the objective function to obtain the required power compensation, the power reference value of the VSG is updated to optimize the dynamic response of the frequency. …”
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Analysis of Conventional Direct Detection and Coherent Optical Receivers in Optical Access Networks by Johanna Berenice Arguero Tello, Milton N. Tipán, Germán V. Arévalo, Christian Tipantuña

“…Additionally, the study recommended investigating pre- and post-compensation techniques to mitigate signal dispersion in optical fibers for further performance optimization.…”
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Multi task detection method for operating status of belt conveyor based on DR-YOLOM by Yongan LI, Tengjie CHEN, Hongwei WANG, Zhihao ZHANG

“…Secondly, as the model requires target recognition and segmentation of different types of tasks, an efficient layer aggregation network (RepGFPN) with skip layer connection structure is adopted to optimize the feature fusion part, greatly improving the detection accuracy of the model for different detection tasks while controlling the number of model parameters and inference speed; Finally, to address the detection tasks of three different label shapes, the Inner CIOU loss function is introduced to compensate for the weak generalization ability of the CIoU loss function in different detection tasks. …”
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Optimized Conditions for Electrical Tissue Stimulation with Biphasic, Charge-Balanced Impulses by Zhengwu Sun, Payel Sen, Jules Hamers, Thomas Seidel, Andreas Dendorfer, Petra Kameritsch

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FUR-DETR: A Lightweight Detection Model for Fixed-Wing UAV Recovery by Yu Yao, Jun Wu, Yisheng Hao, Zhen Huang, Zixuan Yin, Jiajing Xu, Honglin Chen, Jiahua Pi

“…However, the existing RT-DETR algorithm is limited by single-path feature extraction, a simplified fusion mechanism, and high-frequency information loss, which makes it difficult to balance detection accuracy and computational efficiency. Therefore, this paper proposes a lightweight visual detection model based on transformer architecture to further optimize computational efficiency. …”
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Enhanced intrusion detection model based on principal component analysis and variable ensemble machine learning algorithm by Ayuba John, Ismail Fauzi Bin Isnin, Syed Hamid Hussain Madni, Farkhana Binti Muchtar

“…Secondly, PCA is used for feature selection, and a LogitBoost classifier algorithm can be used for multiclass classification and acts as an additive tree regression to compensate for the PCA's weakness by minimizing the Logistic Loss to provide an optimal classifier output. …”
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Data Mining for Material Feeding Optimization of Printed Circuit Board Template Production by Shengping Lv, Binbin Zheng, Hoyeol Kim, Qiangsheng Yue

“…Multivariate boxplot was developed for outlier detection. MSCM was employed to explore the structural change of the samples that were finally partitioned into six groups. …”
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A study on secure coding of intelligent inspection video in plant areas based on improved deep reinforcement learning by Yongmin Yang, Zhenhao Wang

“…The security coding method of an intelligent factory detection video based on improved deep reinforcement learning is studied. …”
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Efficient Testing Light Path for Aspherical Surfaces Based on Secondary Imaging by Xinrui Wang, Xin Li, Quan Zhang, Wei Wei, Enchao Liu

“…This derivation method and the design method of the initial optical path have the characteristics of simple calculation, rapid optimization, and universal applicability, and are applicable to the detection of all quadratic concave surfaces.…”
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Ensemble LVQ Model for Photovoltaic Line-to-Line Fault Diagnosis Using K-Means Clustering and AdaGrad by Peyman Ghaedi, Aref Eskandari, Amir Nedaei, Morteza Habibi, Parviz Parvin, Mohammadreza Aghaei

“…To this end, the present paper proposes a learning vector quantization (LVQ)-based ensemble learning model in which three LVQs are individually trained to detect and classify LL faults in PV arrays. The initial LVQ vectors are determined using the k-means clustering method, and the learning rate is optimized by the adaptive gradient (AdaGrad) optimizer. …”
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Optimization Method for Transit Signal Priority considering Multirequest under Connected Vehicle Environment by Song Xianmin, Yuan Mili, Liang Di, Ma Lin

“…And the green time compensation algorithm is developed after considering the arrival information of the buses in the next cycle of compensational phase. …”
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The Development of a Lightweight DE-YOLO Model for Detecting Impurities and Broken Rice Grains by Zhenwei Liang, Xingyue Xu, Deyong Yang, Yanbin Liu

“…The loss problem of class imbalance is optimized using the Focal Loss function. The experimental results demonstrate that the DE-YOLO model has an average accuracy (mAP) of 97.55% for detecting rice impurity crushing targets, which is 2.9% higher than the average accuracy of the original YOLOX algorithm. …”
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A Combined Frame Difference and Convolution Method for Moving Vehicle Detection in Satellite Videos by Xin Luo, Jiatian Li, Xiaohui A, Yuxi Deng

“…To address the challenges of missed detections caused by insufficient shape and texture features and blurred boundaries in existing detection methods, this paper introduces a novel moving vehicle detection approach for satellite videos. …”
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Mobile-YOLO: A Lightweight Object Detection Algorithm for Four Categories of Aquatic Organisms by Hanyu Jiang, Jing Zhao, Fuyu Ma, Yan Yang, Ruiwen Yi

“…These modules also help compensate for the accuracy loss caused by the lightweight design of LDtect. …”
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Enhancing Facial Feature Detection: Hybrid Active Shape and Active Appearance Model (HASAAM) by Musab Iqtait, Jafar Ababneh, Mohammad Rasmi, Amer Abu-Jassar, Suhaila Abuowaida

“…This better result helps to compensate for variations in shape and texture. The suggested hybrid method may be expanded to recognize gender, estimate head posture, estimate gaze, find facial feature points in the presence of significant pose fluctuations, and detect facial expressions.…”
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Research on formant estimation algorithm for high order optimal LPC root value screening by Hua LONG, Shumeng SU

“…The 9-order linear prediction only preserves the basic shape of LP response amplitude spectrum of speech signal.When the order of LP is increased to the 15,the fitting degree of the signal is increased,and the zero and pole of LP is dense and the distribution of LP is closer to the unit circle.The 15th order LP compensates for the sacrifice of formant fitting accuracy caused by the 9th order linear fitting, which improves the formant extraction accuracy by 2.5%. (2) Using the threshold value under the constraint of digital resonance root value to determine the complex roots,the low frequency false roots generated by fundamental frequency harmonics and the false roots generated by formant harmonics is effectively filtered.The zeroes-poles of the LP polynomial are the complex roots corresponding to the formant peaks.In the view of the distribution of formant detection root values, the high-order LP root threshold constrained by digital formant root values can effectively filter the false roots generated by harmonic action of sound channel. …”
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Optimal pilot pattern for data‐aided channel estimation for MIMO‐OFDM wireless systems by Inaamullah Khan, Michael Cheffena

“…However, reliable data symbols need to be determined carefully because wrong detection results in severe performance degradation. …”
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A Lightweight Cotton Field Weed Detection Model Enhanced with EfficientNet and Attention Mechanisms by Lu Zheng, Lyujia Long, Chengao Zhu, Mengmeng Jia, Pingting Chen, Jun Tie

“…After TensorRT optimization, the video inference time was reduced from 23.134 ms to 2.443 ms per frame, enabling real-time detection in practical agricultural environments.…”
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Directed attention influences optimality of top-down and bottom-up multi-modal perceptual integration by Clement Abbatecola, Henry Kennedy, Kenneth Knoblauch

“…The contributions of each modality were estimated by maximum likelihood within a signal detection model of the decision process. As expected, if the attended modality was degraded by noise, the contribution of the unattended modality increased in compensation. …”
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