Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)最新文献_第2页

Classification of Vaginal Cleanliness Grades through Surface-Enhanced Raman Spectral Analysis via The Deep-Learning Variational Autoencoder–Long Short-Term Memory Model

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-12-23 DOI: 10.1002/aisy.202470059

Jia-Wei Tang, Xin-Ru Wen, Hui-Min Chen, Jie Chen, Kun-Hui Hong, Quan Yuan, Muhammad Usman, Liang Wang

{"title":"Classification of Vaginal Cleanliness Grades through Surface-Enhanced Raman Spectral Analysis via The Deep-Learning Variational Autoencoder–Long Short-Term Memory Model","authors":"Jia-Wei Tang, Xin-Ru Wen, Hui-Min Chen, Jie Chen, Kun-Hui Hong, Quan Yuan, Muhammad Usman, Liang Wang","doi":"10.1002/aisy.202470059","DOIUrl":"https://doi.org/10.1002/aisy.202470059","url":null,"abstract":"Deep-Learning-Guided Surface-Enhanced Raman Spectroscopy\u0000 In article number 2400587, Muhammad Usman, Liang Wang, and co-workers present a novel approach combining deep-learning-guided surface-enhanced Raman spectroscopy (SERS) and a variational autoencoder (VAE) with a long short-term memory (LSTM) neural network to classify vaginal cleanliness levels rapidly and accurately. Enhanced spectral quality and an optimized VAE–LSTM model yielded an 85% accuracy on blind test data. This method, which improves signal-to-noise ratios and diagnostic efficiency, shows strong potential for clinical applications in assessing vaginal cleanliness through SERS analysis of vaginal secretions.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture>\u0000 </div>\u0000 </figure>","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"6 12","pages":""},"PeriodicalIF":6.8,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202470059","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143253111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Decoupling Implantation Prediction and Embryo Ranking in Machine Learning: The Impact of Clinical Data and Discarded Embryos

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-12-23 DOI: 10.1002/aisy.202470058

Itay Erlich, Sotirios H. Saravelos, Cristina Hickman, Assaf Ben-Meir, Iris Har-Vardi, James A. Grifo, Semra Kahraman, Assaf Zaritsky

引用次数: 0

AS-XAI: Self-Supervised Automatic Semantic Interpretation for CNN

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-12-23 DOI: 10.1002/aisy.202470055

Changqi Sun, Hao Xu, Yuntian Chen, Dongxiao Zhang

引用次数: 0

The Risks and Rewards of Embodying Artificial Intelligence with Cloud-Based Laboratories

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-12-15 DOI: 10.1002/aisy.202400193

Nicolas Rouleau, Nirosha J. Murugan

{"title":"The Risks and Rewards of Embodying Artificial Intelligence with Cloud-Based Laboratories","authors":"Nicolas Rouleau, Nirosha J. Murugan","doi":"10.1002/aisy.202400193","DOIUrl":"https://doi.org/10.1002/aisy.202400193","url":null,"abstract":"Autonomous, cloud-based laboratories (CBLs) are transforming scientific research by democratizing access to advanced instruments that accelerate high-throughput discovery. As artificial intelligences (AIs) become integrated or “embodied” with CBLs and gain independence from human oversight, efforts to identify novel pharmaceuticals, renewable energies, and agricultural biotechnologies will accelerate. AI-driven CBLs can perform tasks more efficiently and accurately than human scientists at lower costs, achieving results in weeks rather than years. However, as AI systems approach or exceed human intelligence, their decision-making abilities could outpace the need for human input, raising ethical, economic, and safety concerns. Aligning AI goals with human values is critical, as unregulated systems could pose existential risks, including global health hazards or the distortion of knowledge-generating systems. AI-driven misinformation in research highlights the need for transparency and data integrity, which may be achieved by aligning incentivizes and engineered fail-safes to promote long-term human flourishing. To mitigate risks, strict compartmentalization of AI systems and CBLs with third-party supervision at fine temporal resolutions will be necessary. While current CBLs are piloted by humans, future AI systems may relegate humans to the role of co-pilot. Anticipating increased AI-CBL integration, policies must balance innovation with caution to maximize benefits and avoid unintended harm.","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202400193","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hand Gesture Recognition Using Frequency-Modulated Continuous Wave Radar on Tactile Displays for the Visually Impaired

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-12-15 DOI: 10.1002/aisy.202400663

Ahmed Hamza, Santosh Kumar Prabhulingaiah, Pegah Pezeshkpour, Bastian E. Rapp

{"title":"Hand Gesture Recognition Using Frequency-Modulated Continuous Wave Radar on Tactile Displays for the Visually Impaired","authors":"Ahmed Hamza, Santosh Kumar Prabhulingaiah, Pegah Pezeshkpour, Bastian E. Rapp","doi":"10.1002/aisy.202400663","DOIUrl":"https://doi.org/10.1002/aisy.202400663","url":null,"abstract":"Touchscreens are essential parts of many electronics in daily lives of sighted people in the digital information era. On the other hand, visually impaired users rely on tactile displays as one of the key communication devices to interact with the digital world. However, due to their working mechanism and the uneven surface of tactile displays, one of the key features of screens for sighted users is surprisingly challenging to implement: precision touch input. To overcome this, a hand gesture recognition system is developed using a frequency-modulated continuous wave millimeter-wave radar. A multifeature encoder method is used to obtain the range and velocity information from the radar to translate the data into spectrogram images. Gesture recognition is implemented for common input gestures: single/double-click, swipe-right/left, scroll-up/down, zoom-in/out, and rotate-anticlockwise/clockwise. The gesture recognition and classification are based on machine learning, support vector machines, deep learning, and convolutional neural network approaches. The chosen model You-Only-Look-Once (YOLOv8) shows a high accuracy of 97.1% by iterating only 30 epochs with only 500 collected data samples per gesture. This research paves the way toward using radar sensors not only for tactile displays but also for other digital devices in human–computer interaction.","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 2","pages":""},"PeriodicalIF":6.8,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202400663","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143423585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rolled Soft Actuators Based on P(VDF-TrFE-CTFE) Electrospun Nanofibers 基于 P（VDF-TrFE-CTFE）电纺纳米纤维的轧制软致动器

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-12-10 DOI: 10.1002/aisy.202400781

Jiahao Pan, Riccardo D’Anniballe, Raffaella Carloni

{"title":"Rolled Soft Actuators Based on P(VDF-TrFE-CTFE) Electrospun Nanofibers","authors":"Jiahao Pan, Riccardo D’Anniballe, Raffaella Carloni","doi":"10.1002/aisy.202400781","DOIUrl":"https://doi.org/10.1002/aisy.202400781","url":null,"abstract":"This study presents a novel rolled dielectric elastomer actuator, based on Poly(vinylidene fluoride-trifluoroethylene-chlorotrifluoroethylene), i.e., P(VDF-TrFE-CTFE), nanofibers that are fabricated by means of an electrospinning process. The soft actuator is realized by rolling a mat of two active layers, interleaved with two electrodes. The active layers are mats of P(VDF-TrFE-CTFE)-based nanofibers, embedded in an elastomeric matrix of polydimethylsiloxane (PDMS). The electrodes are made of a mixture of carbon black and PDMS, bonded to the active layers by electrostatic adhesion force. The effects of the nanofibers in the soft actuators are investigated. Specimens of the soft actuator are realized that differ in the thickness of the nanofibrous mats used for the active layers, that is, 60 and 120 μm. An electromechanical characterization is performed to analyze and measure the axial force and axial displacements of the soft actuators when different electric fields are applied to the specimens in the transversal direction. The experimental results show that the presence of P(VDF-TrFE-CTFE)-based nanofibers enhances the force-to-weight ratio of the soft actuators by up to 43.5%, and the energy density by up to 12.9%, compared to a control specimen with the active layer made of PDMS only.","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 2","pages":""},"PeriodicalIF":6.8,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202400781","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143423524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Gait Perception via Actual and Estimated Pneumatic Physical Reservoir Output

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-12-01 DOI: 10.1002/aisy.202400278

Junyi Shen, Tetsuro Miyazaki, Swaninda Ghosh, Toshihiro Kawase, Kenji Kawashima

{"title":"Gait Perception via Actual and Estimated Pneumatic Physical Reservoir Output","authors":"Junyi Shen, Tetsuro Miyazaki, Swaninda Ghosh, Toshihiro Kawase, Kenji Kawashima","doi":"10.1002/aisy.202400278","DOIUrl":"https://doi.org/10.1002/aisy.202400278","url":null,"abstract":"\u0000Accurately identifying user needs in terms of assist timing and magnitude presents challenges for wearable power-assist limb devices. Traditional approaches to gait perception—such as estimating joint angles and walking conditions—often rely on electronic sensors and neural networks, which can compromise wearability and impose high computational demands. Physical reservoir computing (PRC), which utilizes the inherent nonlinearity of physical systems for data processing, offers a promising alternative. This study proposes a novel self-estimated physical reservoir computing (SEPRC) model that improves traditional PRC models for gait perception using a wearable pneumatic physical reservoir. A core feature of the new model is the self-estimation structure, wherein the outputs of the physical reservoir are mutually estimated. Experimental evaluations indicate that the SEPRC model outperforms traditional PRC in clustering time-series reservoir output sequences with the same dimensionality. This enhanced clustering performance is subsequently leveraged in gait perception by incorporating Takagi–Sugeno fuzzy logic for joint angle estimation and a softmax activation function for walking condition recognition. The newly proposed time-sequence processing approach facilitates the traditional PRC model to achieve higher accuracy in gait perception and greater robustness against the user's walking pattern variations while preserving PRC's hardware simplicity.","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 1","pages":""},"PeriodicalIF":6.8,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202400278","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143110661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ecofriendly Printed Wood-Based Honey-Gated Transistors for Artificial Synapse Emulation

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-11-25 DOI: 10.1002/aisy.202400760

Douglas Henrique Vieira, Emanuel Carlos, Maíza Silva Ozório, Maria Morais, Elvira Fortunato, Neri Alves, Rodrigo Martins

{"title":"Ecofriendly Printed Wood-Based Honey-Gated Transistors for Artificial Synapse Emulation","authors":"Douglas Henrique Vieira, Emanuel Carlos, Maíza Silva Ozório, Maria Morais, Elvira Fortunato, Neri Alves, Rodrigo Martins","doi":"10.1002/aisy.202400760","DOIUrl":"https://doi.org/10.1002/aisy.202400760","url":null,"abstract":"Printed electronics have traditionally used substrates and materials derived from fuel-based or less abundant and toxic resources, raising environmental concerns. Wood as a substrate reduces processing steps and enables the integration of intelligent functionalities in wooden furniture, offering biodegradability, nontoxicity, and derivation from renewable sources. In this work, sustainably printed transistors using zinc oxide nanoparticles as the active layer and honey electrolyte on wood substrates are demonstrated as a promising approach to reduce the environmental footprint of electronics. Despite the substrate's high roughness, the transistor exhibits excellent performance for screen-printed devices, with low on-voltage of 0.32 ± 0.12 V and high Ion/Ioff of (2.4 ± 0.9) × 104. Further analysis of hysteresis in transfer curves under varying scan rates and sweep ranges reveals the device's ability to adjust memory windows and on-current. Notably, these devices successfully emulate synapses, exhibiting neural facilitation and plasticity, indicating a shift toward sustainable computing. The device's dynamic response to single and successive presynaptic pulses demonstrates its ability to adjust synaptic weight, transition from transient to persistent memory, and pulse width-, frequency-, voltage-, and number-dependent excitatory postsynaptic currents. The successful emulation of the learning–forgetting–relearning–forgetting process underscores the device's potential for use in sustainable high-performance neuromorphic systems.","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 2","pages":""},"PeriodicalIF":6.8,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202400760","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143424129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Compensated Current Mirror Neuron Circuits for Linear Charge Integration with Ultralow Static Power in Spiking Neural Networks

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-11-24 DOI: 10.1002/aisy.202400673

Jonghyuk Park, Sungjoon Kim, Woo Young Choi

{"title":"Compensated Current Mirror Neuron Circuits for Linear Charge Integration with Ultralow Static Power in Spiking Neural Networks","authors":"Jonghyuk Park, Sungjoon Kim, Woo Young Choi","doi":"10.1002/aisy.202400673","DOIUrl":"https://doi.org/10.1002/aisy.202400673","url":null,"abstract":"For energy- and time-efficient artificial intelligence (AI) computing, implementing hardware-based spiking neural networks (SNNs) has become a core technology. In SNNs, synaptic devices store weights in memory, and neurons process received weighted information and generate spike signals. Upon feeding spike signals into synaptic arrays, the synaptic weights multiply the signals, which subsequently sum up to perform vector-matrix multiplication (VMM). Simultaneous access to multiple synaptic devices, however, reduces the equivalent resistance of these synaptic arrays. This reduction alters the voltage division between the pre-synaptic array and the input resistance of the neuron circuit, distorting the read voltage across synaptic devices. This phenomenon is known as the fan-in problem, which leads to non-ideal VMM operations and degrades system accuracy. To address this issue, a novel compensated current mirror (CCM) neuron circuit is proposed, which incorporates a single additional transistor into a conventional current mirror. This CCM neuron achieves exceptional current linearity (R2 > 0.999) and efficiently compensates for VMM error with low complexity and energy consumption (3.33 pJ spike−1). Furthermore, the CCM neuron demonstrates ≈7-%p higher inference accuracy than conventional ones when integrated with a 512 × 512 large-scale synaptic array, which is comparable to the accuracy of software-based SNNs.","PeriodicalId":93858,"journal":{"name":"Advanced intelligent systems (Weinheim an der Bergstrasse, Germany)","volume":"7 2","pages":""},"PeriodicalIF":6.8,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aisy.202400673","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143424265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Magnetic Actuation for Mechanomedicine

IF 6.8

Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-11-20 DOI: 10.1002/aisy.202400638

Daniel Garcia-Gonzalez, Ritu Raman, Simone Schuerle, Andy Tay

引用次数: 0