The proceedings contain 98 papers. The topics discussed include: clustering-based automatic codeword lengths determination in self-supervised learning;deep generative models as an adversarial attack strategy for tabul...
ISBN:
(纸本)9798331528041
The proceedings contain 98 papers. The topics discussed include: clustering-based automatic codeword lengths determination in self-supervised learning;deep generative models as an adversarial attack strategy for tabular machinelearning;data drift in android malware detection;learning of molecular graphs in toxicity prediction;multi-label classification with weakly labeled data based on concept-cognitive learning;clustering single-cell multi-omics data with graph contrastive learning;improvements of flower classification using deep neural networks with various solver optimization algorithms;state-self-determining reinforcement learning for adapting to unknown environments and elucidating higher brain functions;algebraic adversarial attacks on integrated gradients;and analysis and detection of optimal euploid embryo transfer position.
The proceedings contain 91 papers. The topics discussed include: a cross-time zone transfer consumption model for base station computing tasks based on photovoltaic prediction;numerical embedding of categorical featur...
ISBN:
(纸本)9798350303780
The proceedings contain 91 papers. The topics discussed include: a cross-time zone transfer consumption model for base station computing tasks based on photovoltaic prediction;numerical embedding of categorical features in tabular data: a survey;SAPD: self-attention progressive seismic data denoising;heart rate measurement in low-light conditions and human natural sleeping positions based on video;on reinforcement learning in stabilizability of probabilistic Boolean control networks;anomaly detection in dynamic graphs via long short-term temporal attention network;prediction of laser drilling qualities for optical grade PMMA using artificial neural network;and samples on thin ice: re-evaluating adversarial pruning of neural networks.
The proceedings contain 48 papers. The topics discussed include: automated traffic management system using deep learning based object detection;automatic digit hand sign detection with hand landmark;a method for forec...
ISBN:
(纸本)9781665488327
The proceedings contain 48 papers. The topics discussed include: automated traffic management system using deep learning based object detection;automatic digit hand sign detection with hand landmark;a method for forecasting the pork price based on fluctuation forecasting and attention mechanism;unsupervised representation learning method in sensor based human activity recognition;an access control method with secret key for semantic segmentation models;solution to robust two-stage stochastic convex programming using subgradient method;non-invasive deep temperature measurement based on the long short term memory for hyperthermia therapy;magical-decomposition: winning both adversarial robustness and efficiency on hardware;domain-robust pre-training method for the sensor-based human activity recognition;and portfolio trading of financial products based on machinelearning.
The proceedings contain 33 papers. The topics discussed include: fuzzy interpolative reasoning based on representative values and characteristic points of rough-fuzzy sets;neural-based hierarchical formation control o...
ISBN:
(纸本)9781665466080
The proceedings contain 33 papers. The topics discussed include: fuzzy interpolative reasoning based on representative values and characteristic points of rough-fuzzy sets;neural-based hierarchical formation control of mixed-order multi-agent systems;deep grouped non-negative matrix factorization method for image data representation;fusion of complex networks-based global and local features for feature representation;a new multicriteria decision making approach for university ranking: the skyline SIR method;fuzzy logic control for multi-robot navigation and arrival-time control in a cluttered environment;clustering network-connected devices using affiliation graphs;detecting botnet victims through graph-based machinelearning;and on degree of bone healing for bone fracture treatment by ultrasonic wave.
The proceedings contain 99 papers. The topics discussed include: application of a genetic technique for selection of the best features and machinelearning for malware detection on android;a survey of optimized compil...
ISBN:
(纸本)9798331505790
The proceedings contain 99 papers. The topics discussed include: application of a genetic technique for selection of the best features and machinelearning for malware detection on android;a survey of optimized compiler using advanced machinelearning and deep learning techniques;cognitive computing in English language classrooms;a systematic analysis on security and anomaly detection using machinelearning in cloud computing;creation of geospatial database farming system using machinelearning;optimizing natural language understanding: a comprehensive study of Python’s top libraries;a machinelearning approach to dairy farm energy disaggregation;a novel mechanism for identifying malicious and phishing URLs using machinelearning classifiers;studying the effectiveness of online college education in India from student feedback;and enhanced liver disease prediction using ensemble learning.
The proceedings contain 118 papers. The topics discussed include: advancements in public transport: design and implementation of an android-based real-time bus tracking system;computational techniques high-quality wir...
ISBN:
(纸本)9798350338287
The proceedings contain 118 papers. The topics discussed include: advancements in public transport: design and implementation of an android-based real-time bus tracking system;computational techniques high-quality wireless communication to the outside world for further processing in wireless sensor networks;precision agriculture using LORA radar based smart irrigation multi-cuisine and multi-data screening of food quality at service points using object detection capabilities of YOLO NAS monitoring system;neural networks and machinelearning;Indian sign language recognition using scale-invariant feature transform by depth sensor;e-commerce engineering navigating web development based voice for local;enhancing emotion recognition: machinelearning with phasic spectrogram texture features;and disaster-resilient smart city framework;a cross-layer protocol analysis for emergency earthquake response.
The proceedings contain 48 papers. The topics discussed include: segmentation based backdoor attack detection;detection of modulated motor cortex using anodal and cathodal TDCS based neurofeedback;development of a dra...
ISBN:
(纸本)9780738124261
The proceedings contain 48 papers. The topics discussed include: segmentation based backdoor attack detection;detection of modulated motor cortex using anodal and cathodal TDCS based neurofeedback;development of a drawing assistant system for blind users using an object-oriented graphic description language;a modified q-learning algorithm for control of two-qubit systems;transfer learning with shapeshift adapter: a parameter-efficient module for deep learning mode;identification of inverted pendulum system using frequency domain maximum likelihood estimation;Parkinson’s disease detection using fMRI images leveraging transfer learning on convolutional neural network;and dynamic multi-target assignment with decentralized online learning to achieve multiple synchronized goals.
The proceedings contain 111 papers. The topics discussed include: prediction stock price based on different index factors using LSTM;research on comprehensive quality evaluation method based on cooperative performance...
ISBN:
(纸本)9781728128160
The proceedings contain 111 papers. The topics discussed include: prediction stock price based on different index factors using LSTM;research on comprehensive quality evaluation method based on cooperative performance;a robot obstacle avoidance method using merged cnn framework;phase retrieval via wirtinger flow algorithm and its variants;autonomous cross-floor navigation system for a ROS-based modular service robot;electricity consumption forecasting of buildings using hierarchical ANFIS and GRA;domain adaption for facial expression recognition;and using non-parametric regression methods to analyze the impact of air pollutants on psychiatric neurological illnesses.
This study explores the application of machinelearning methodologies in drug repurposing for brain cancer therapy, focusing on targeting the epidermal growth factor receptor (EGFR). Our approach involved the developm...
详细信息
ISBN:
(纸本)9798350364200;9798350364194
This study explores the application of machinelearning methodologies in drug repurposing for brain cancer therapy, focusing on targeting the epidermal growth factor receptor (EGFR). Our approach involved the development of a predictive model to estimate the half-maximal inhibitory concentration (IC50) values of compounds against EGFR, leveraging existing biological activity data of known EGFR inhibitors and molecular structure descriptors. The constructed model exhibited efficacy in predicting the inhibitory activity of compounds against EGFR. Subsequent screening of a library of known drugs using the predictive model led to the identification of several compounds with low predicted IC50 values, indicating their potential as drug candidates for further investigation. This study underscores the utility of integrating machinelearning techniques into drug repurposing endeavours, offering a pragmatic approach to identifying potential therapeutic options for brain cancer treatment.
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