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View article: Cloud-Device Collaborative Agents for Sequential Recommendation
Cloud-Device Collaborative Agents for Sequential Recommendation Open
Recent advances in large language models (LLMs) have enabled agent-based recommendation systems with strong semantic understanding and flexible reasoning capabilities. While LLM-based agents deployed in the cloud offer powerful personaliza…
View article: A Comprehensive Survey of Knowledge-Based Vision Question Answering Systems: The Lifecycle of Knowledge in Visual Reasoning Task
A Comprehensive Survey of Knowledge-Based Vision Question Answering Systems: The Lifecycle of Knowledge in Visual Reasoning Task Open
Knowledge-based Vision Question Answering (KB-VQA) extends general Vision Question Answering (VQA) by not only requiring the understanding of visual and textual inputs but also extensive range of knowledge, enabling significant advancement…
View article: Vertical Federated Unlearning via Backdoor Certification
Vertical Federated Unlearning via Backdoor Certification Open
Vertical Federated Learning (VFL) offers a novel paradigm in machine learning, enabling distinct entities to train models cooperatively while maintaining data privacy. This method is particularly pertinent when entities possess datasets wi…
View article: Research on Multi-Modal Pedestrian Detection and Tracking Algorithm Based on Deep Learning
Research on Multi-Modal Pedestrian Detection and Tracking Algorithm Based on Deep Learning Open
In the realm of intelligent transportation, pedestrian detection has witnessed significant advancements. However, it continues to grapple with challenging issues, notably the detection of pedestrians in complex lighting scenarios. Conventi…
View article: HybOff: a Hybrid Offloading approach to improve load balancing in fog environments
HybOff: a Hybrid Offloading approach to improve load balancing in fog environments Open
Load balancing is crucial in distributed systems like fog computing, where efficiency is paramount. Offloading with different approaches is the key to balancing the load in distributed environments. Static offloading (SoA) falls short in h…
View article: HybOff: A Hybrid Offloading Approach to Improve Load Balancing in Fog Networks
HybOff: A Hybrid Offloading Approach to Improve Load Balancing in Fog Networks Open
Load balancing is crucial in distributed systems like fog computing, where efficiency is paramount. Offloading with different approaches is the key to balancing the load in distributed environments. Static offloading (SOS) falls short in h…
View article: Churn Prediction via Multimodal Fusion Learning:Integrating Customer Financial Literacy, Voice, and Behavioral Data
Churn Prediction via Multimodal Fusion Learning:Integrating Customer Financial Literacy, Voice, and Behavioral Data Open
In todays competitive landscape, businesses grapple with customer retention. Churn prediction models, although beneficial, often lack accuracy due to the reliance on a single data source. The intricate nature of human behavior and high dim…
View article: High-order Spatial Interactions Enhanced Lightweight Model for Optical Remote Sensing Image-based Small Ship Detection
High-order Spatial Interactions Enhanced Lightweight Model for Optical Remote Sensing Image-based Small Ship Detection Open
Accurate and reliable optical remote sensing image-based small-ship detection is crucial for maritime surveillance systems, but existing methods often struggle with balancing detection performance and computational complexity. In this pape…
View article: An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance
An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance Open
Emotion recognition (ER) from speech signals is a robust approach since it cannot be imitated like facial expression or text based sentiment analysis. Valuable information underlying the emotions are significant for human-computer interact…
View article: Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions
Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions Open
Customer churn describes terminating a relationship with a business or reducing customer engagement over a specific period. Customer acquisition cost can be five to six times that of customer retention, hence investing in customers with ch…
View article: A novel synthetic method of 1,1,4,4-tetramethyl-2-tetrazene (TMTZ) via photocatalytic reaction
A novel synthetic method of 1,1,4,4-tetramethyl-2-tetrazene (TMTZ) via photocatalytic reaction Open
1,1,4,4-Tetramethyl-2-tetrazene (TMTZ), a potential candidate for replacing 1,1-dimethylhydrazine (UDMH), has excellent properties including a high specific impulse, non-toxicity and non-volatility. However, most synthetic methods depicted…
View article: CDRec: Cayley-Dickson Recommender
CDRec: Cayley-Dickson Recommender Open
In this paper, we propose a recommendation framework named Cayley-Dickson Recommender. We introduce Cayley-Dickson construction which uses a recursive process to define hypercomplex algebras and their mathematical operations. We also desig…
View article: Causal Analysis of Customer Churn Using Deep Learning
Causal Analysis of Customer Churn Using Deep Learning Open
Customer churn describes terminating a relationship with a business or reducing customer engagement over a specific period. Two main business marketing strategies play vital roles to increase market share dollar-value: gaining new and pres…