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Patrick Finnerty

Lecturer (講師)

Kobe University

Japan

Research Interests

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About

Dr. Patrick Finnerty is an Assistant Professor at Kobe University, Japan. His research focuses on advanced localization techniques, wireless communication networks, and optimization algorithms, as demonstrated in his recent articles. His work includes studies on indoor localization, handover analysis in heterogeneous networks, and data aggregation methods in sensor networks.

Articles (25)

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Collaborators (3)

Jonas Posner

Professor (Operating Systems and Parallel Processing)

Fulda University of Applied Sciences

GERMANY

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Eiji Takimoto

Associate Professor

Nara Women's University

JAPAN

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Chikara Ohta

Kobe University

JAPAN

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Patrick Finnerty

Research Interests

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About

Articles (25)

Adjusted Rand Index-Guided DPSO for Clustering and Data Routing in Wireless Sensor Networks

Single-AP indoor localization via multi-directional beamforming

Delta Coding With Dead-Zone Quantization for Bandwidth-Efficient Split Computing on Video Streams

Indoor localization using router-to-router RSSI and transfer learning for dynamic environments

Directional Handover Analysis with Stochastic Petri Net and Poisson Point Process in Heterogeneous Networks

Enhancing Privacy and Communication Efficiency in Federated Learning Through Selective Low-Rank Adaptation and Differential Privacy

An Enhancement of RSSI-based Localization Using Optimization Algorithm with RSSI Differential Value and Kalman Filter

Route Planning in Urban Environments: a Shade-Aware Navigation Framework

Diffusion Model-based RSSI Fingerprint Generation for Indoor Localization in Dynamic Environments

Efficient QUBO formulation for Non-Orthogonal Multiple Access

A CQI and Hysteretic-Based Decision Algorithm to Prevent Handover Failures for Pedestrian Mobility in Mobile Communication HetNet

BLE-Based Outdoor Localization With Two-Ray Ground-Reflection Model Using Optimization Algorithms

HAC: Hierarchical Agglomerative Clustering With Linear Programming for Wireless Sensor Networks

On the Performance of Malleable APGAS Programs and Batch Job Schedulers

Applications of cluster-based transfer learning in image and localization tasks

Polling schedule algorithms for data aggregation with sensor phase control in in-vehicle UWB networks

Polling Schedule Algorithms for Data Aggregation with Sensor Phase Control in In-Vehicle UWB Networks

Preamble Arbitration Rule and Interference Suppression-Based Polling Medium Access Control for In-Vehicle Ultra-Wideband Networks

Automatically balancing relocatable distributed collections

Supercharging the APGAS Programming Model with Relocatable Distributed Collections

A study on optimization of polling scheduling for in-vehicle UWB wireless networks

Pedestrian Information Collation through Image-Based Person Identification for Pedestrian Information Sharing using V2V Communications.

Topic-based distributed publish-process-subscribe system with metrics on geographic distance and permissible delay

Radio resource allocation based on adaptive and maximum reuse distance for LTE-V2X sidelink mode 3

A self‐adjusting task granularity mechanism for the Java lifeline‐based global load balancer library on many‐core clusters

Collaborators (3)

Jonas Posner

Eiji Takimoto

Chikara Ohta

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